Papers & Projects > International Journals(SCI급) | 국립군산대학교 로봇및지능제어연구실

1993 ~ 2000
2001 ~ 2005
2006 ~ 2010
2011 ~ 2015
2016 ~ 현재

2016년도~ 현재

264	R. Subramaniyan and Y. H. Joo, “H_inf Control Design for Discrete-Time Nonlinear Delayed Systems”, International Journal of Robust and Nonlinear Control, Accepted, 2021, 10.
263	P. Kumarasamy and H. S. Kim, and Y. H. Joo, “Fuzzy Integral Sliding Mode Control for DFIG-based Wind Energy System via Membership Function- dependent H_inf approach, Information Sciences, Accepted, 2021, 12.
262	S. Kuppusamy and Y. H. Joo, ”Stabilization Criteria for T-S Fuzzy Systems With Multiplicative Sampled-Data Control Gain Uncertainties“, IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2021.3138633, 2021. 12
261	Y. Ying, Y. Qi, L. Rong, H. Men, and Y. H. Joo, “Anchor Points Based Accurate Fault Locating in Large-Scale Photovoltaic Plants via Aerial Infrared Videos“, IEEE Journal of Photovoltaics, 10.1109/JPHOTOV.2021.3124748, 2022, 1.
260	L. Shanmugam and Y.H. Joo, “Stability Criteria for Fuzzy-based Sampled-data Control Systems via a Fractional Parameter-based Refined Looped Lyapunov Functional”, IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2021. 3089034, 2021. 06
259	M. Prakish and Y.H. Joo, “Fuzzy Event-triggered Control for Back to Back Converter involved PMSG-based Wind Turbine System”, IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2021.3059949, 2021. 02
258	S. Kuppusamy, H. S. Kim, and Y. H. Joo, “Asynchronous Control for Discrete-Time Hidden Markov Jump Power Systems”, IEEE Transactions on Cybernetics, 10.1109/TCYB.2021. 3062672, 2021, 2.
257	S. Kuppusamy, H. S. Kim, and Y. H. Joo, “Resilient Reliable H∞ Load Frequency Control of Power System With Random Gain Fluctuations“, IEEE Transactions on System, Man, and Cybernetics-Systems, DOI 10.1109/TSMC.2021.3049392, Online Publication, 2021.01,
256	R. Venkateswaran and Y. H. Joo, “Retarded Sampled-data Control Design for Interconnected Power System with DFIG-based Wind Farms: LMI Approach”, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2020. 3042543, 2021, 01.
255	G. Velmurugan and Young Hoon Joo, “T-S Fuzzy Sampled-data Control for Nonlinear Systems with Actuator Faults and Its Application to Wind Energy System”, IEEE Transactions on Fuzzy Systems, doi:10.1109/ TFUZZ.2020. 3041113, Online Publication, 2020, 12.
254	S. Kuppusamy and Y. H. Joo, “Stabilization of Interval Type-2 Fuzzy-based Reliable Sampled-data Control Systems“, IEEE Transactions on Cybernetics, doi:10.1109/ TCYB.2020.3001609, Online Publication, 2020, 06.
253	P. Mani and Y. H. Joo, “Fuzzy-logic-based Event-Triggered $H_infty$ Control for Networked Systems and Its Application to Wind Turbine Systems“, Information Sciences, Vol. 585, 144-161, 2022, 03.
252	T. Shu. Song, D. Song, and Y. H. Joo, “Decentralised optimisation for large offshore wind farms using a sparsified wake digraph”, Applied Energy, vol. 306, no. 117986, 2022. 01.
251	S. Kuppusamy, Y. H. Joo, and H. S. Kim, “Fault-Tolerant Load Frequency Control for DFIG-based Interconnected Wind Power Systems”, Information Sciences, Vol. 582, pp. 73-88, 2022, 01.
250	Y. Chen, Y. H. Joo, and D. Song, “Modiﬁed Beetle Annealing Search (BAS) Optimization Strategy for Maxing Wind Farm Power through an Adaptive Wake Digraph Clustering Approach”, Energies, vol. 14, iss. 7326, 2021, 11.
249	L. Shanmugam and Y. H. Joo, “Investigation on Stability of Delayed T-S Fuzzy Interconnected Systems via Decentralized Memory-based Sampled-data Control and Validation through Interconnected Power Systems with DFIG-based Wind Turbines”, Information Sciences, vol. 580, pp. 934-952, 2021, 11.
248	D. Elayaperumal and Y. H. Joo, “Robust visual object tracking using context-based spatial variation via multi-feature fusion”, Information Sciences, vol. 577, pp. 467-482, 2021, 10.
247	C. Dong and Y. H. Joo, “Novel Approach to 2D DOA Estimation for Uniform Circular Arrays Using Convolutional Neural Networks”, International Journal of Antennas and Propagation, Article No. 5516798, 2021, 07.
246	R. Vadivel, M. Syed Ali, and Y. H. Joo, “Robust H∞ performance for discrete time T-S fuzzy switched memristive stochastic neural networks with mixed time varying delays”, Journal of Experimental & Theoretical Artificial Intelligence, Volume 33, Issue 1, p.79-107, 2021, 07.
245	Elayaperumal and Y. H. Joo, “Aberrance Suppressed Spatio-Temporal Correlation Filters for Visual Object Tracking”, Pattern Recognition, vol. 115, no. 107922, pp. 1-10, 2021. 07.
244	J. Yang, S, Zheng, D. Song, M. Su, X. Yang, and Y. H. Joo, “Data-driven modeling for fatigue loads of large-scale wind turbines under active power regulation”, Wind Energy. Vol, 24, pp. 558–572, 2021, 06.
243	V. Sharmila, R. Rakkiyappan, and Y. H. Joo, “Event-triggered Integral Sliding Mode Control of T-S Fuzzy Stochastic Systems”, International Journal of Adaptive Control and Signal Processing, vol. 35, iss. 6, pp. 1099–1119, 2021. 06.
242	L. Shanmugam and Y. H. Joo, “Stabilization of Permanent Magnet Synchronous Generator-based Wind Turbine System via Fuzzy-based Sampled-data Control Approach”, Information Sciences, vol. 559, PP. 270-285, 2021, 06.
241	S. Kuppusamy and Y. H. Joo, “Memory-Based Integral Sliding-Mode Control for T–S Fuzzy Systems With PMSM via Disturbance Observer”, IEEE Transactions on Cybernetics, vol. 51, no. 5, 2021, 05.
240	D. Song, S. Zheng, S. Yang, J. Yang, M. Dong, M. Su, and Y. H. Joo, “Annual Energy production Estimation for Variable-speed Wind Turbine at High-altitude Site”, Journal of Modern Power Systems and Clean Energy, vol. 9, no. 3, pp. 684-687, 2021, 05.
239	D. Song, S. Zheng, S. Yang, J. Yang, M. Dong, M. Su, and Y. H. Joo. “Comprehensive optimization for fatigue loads of wind turbines in complex terrain wind farms”, IEEE Transactions on Sustainable Energy, vol. 12, no. 2, pp. 909-919, 2021, 04.
238	R. Vadivel and Y. H. Joo, “Reliable Fuzzy H∞ Control for Permanent Magnet Synchronous Motor Against Stochastic Actuator Faults”, IEEE Transactions on System, Man, and Cybernetics-Systems, vol. 51, no. 4, pp. 2232-2245, 2021, 04.
237	P. Mani, R. Rajan, and Y. H. Joo, “Design of Observer-Based Event-Triggered Fuzzy ISMC for T–S Fuzzy Model and Its Application to PMSG”, IEEE Transactions on System, Man, and Cybernetics-Systems, vol. 51, no. 4, pp. 2221-2231, 2021, 04.
236	R. Subramaniam and Y. H. Joo, “Passivity-Based Fuzzy ISMC for Wind Energy Conversion Systems With PMSG“, IEEE Transactions on System, Man, and Cybernetics-Systems, vol. 51, no. 4, pp. 2212-2220, 2021, 04.
235	V. Sharmila, R. Rakkiyappan, and Y. H. Joo, “Fuzzy sampled-data control for DFIG-based wind turbine with stochastic actuator failures”, IEEE Transactions on System, Man, and Cybernetics-Systems, vol. 51, no. 4, pp. 2199-2211, 2021, 04.
234	L. Shanmugam and Y. H. Joo, “Stability and stabilization of large-scale interconnected systems and its application to wind power system based on sampled control scheme”, IEEE Transactions on System, Man, and Cybernetics-Systems, vol. 51, no. 4, pp. 2134-2144, 2021, 04.
233	D. Song, S. Zheng, S. Yang, J. Yang, M. Dong, M. Su, and Y. H. Joo, “Maximum wind energy extraction of large-scale wind turbines using nonlinear model predictive control via Yin-Yang grey wolf optimization algorithm“, Energy, Vol. 221, No, 119866, pp. 1-15, 2021, 04.
232	R. Subramaniyam and Y. H. Joo, “Memory-based ISMC design of DFIG-based wind Turbine model via T-S fuzzy approach“, IET Control Theory and Applications, vol. 15, no. 3, pp. :348–359. 2021, 02.
231	H. S. Kim, K. G. Lee, and Y. H. Joo, “Decentralized Sampled-data Fuzzy Controller Design for a VTOL UAV”, Journal of Franklin Institute, Volume 358, no. 3, pp. 1888-1914, 2021, 02.
230	J. Yang, L. Fang, D. Song, M. Su, X. Yang, L. Huang, and Y. H. Joo, “Review of control strategy of large horizontal-axis wind turbines yaw system”, Wind Energy. Vol. 24, o. 2, pp. 97–115, 2021, 02.
229	M. Prakish and Y. H. Joo, “Integral Sliding Mode Control for T-S fuzzy Descriptor Systems”, Nonlinear Analysis: Hybrid Systems, Vol. 39, ID. 100953, 2021, 02.
228	S. Moorthy, and Y. H. Joo, “Multi-Expert Visual Tracking using Hierarchical Convolutional Feature Fusion via Contextual Information”, Information Sciences, Vol. 546, pp. 996-1013, 2021, 02.
227	M. Prakish and Y. H. Joo, “Fuzzy logic-based integral sliding mode control of multi-area power systems integrated with wind farms”, Information Sciences, Vol. 545, pp. 153-169, 2021, 02.
226	D. Song, Q. Chang, S. Zheng, S. Yang, J. Yang, and Y. H. Joo, “Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines”, Journal of Modern Power System and Clean Energy, vol. 9, no. 1, pp. 219-224, 2021, 01.
225	L. Shanmugam and Y. H. Joo, "Further Stability and Stabilization Condition for Sampled- data Control Systems via Looped-functional Method“, IEEE Transactions on Circuits and Systems II: Express Briefs, vol, 68, no. 1, pp. 301-305, 2021, 01.
224	L. Shanmugam and Y. H. Joo, “Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and Its Application to PMSM“, IEEE Transactions on System, Man, and Cybernetics-Systems, Vol. 51, No. 1, 2021, 01.
223	R Subramaniyam and Y. H. Joo, “Memory‐based ISMC design of DFIG‐based wind turbine model via TS fuzzy approach”, IET Control Theory and Applications, Vol. 15, no. 3, pp. 348–359, 2021, 01
222	M. Dong, Y. Li, D. Song, J. Yang, M. Su, X. Deng, L. Huang, M. H. Elkholy, and Y. H. Joo, “Uncertainty and global sensitivity analysis of levelized cost of energy in wind power generation“, Energy Conversion and Management, Vol. 229, Article No. 1137891, 2021, 1.
221	R. Vadivel, and Y. H. Joo, “Robust event-triggered T–S fuzzy system with successive time-delay signals and its application“, IET Control Theory and Applications, Vol. 14, Iss. 20, pp. 3697-3712, 2020, 12.
220	H. S. Kim, S. H. Hwang, and Y. H. Joo, “Interval Type-2 Fuzzy-model-based Fault-tolerant Sliding Mode Tracking Control of A Quadrotor UAV Under Actuator Saturation”, IET Control Theory and Applications, Vol. 14, Iss. 20, pp. 3663–3675, 2020, 12.
219	S. Kuppusamy and Y. H. Joo, “Nonfragile Retarded Sampled-Data Switched Control of T–S Fuzzy Systems and Its Applications”, IEEE Transactions on Fuzzy Systems, Vol. 28, No. 10, pp. 2523-2532, 2020, 10.
218	S. Moorthy, J. Y. Choi, and Y. H. Joo, “Gaussian-response Correlation Filter for Robust Visual Tracking”, Neurocomputing, vol. 411, pp. 78–90, 2020, 10
217	R. Rakkiyappan, V. Gandhi, P. Soundharajan, and Y. H. Joo, “Almost Periodic Dynamics of Memristive Inertial Neural Networks With Mixed Delays, Information Sciences, Vol. 536, pp. 332–350, 2020, 10.
216	G. Nagamani and Y. H. Joo, “Event-Triggered Observer-based Sliding Mode Control for T-S Fuzzy Systems viaImproved Relaxed-based Integral Inequality”, Journal of Franklin Institute, Vol. 357, Iss. 14, pp. 9543-9567, 2020, 09.
215	R. Vadivel, M. Syed Ali, and Y. H. Joo, “Drive-response synchronization of uncertain Markov jump generalized neural networks with interval time varying delays via decentralized event- triggered communication scheme”, Journal of Franklin Institute, Vol. 357, Iss. 11, pp. 6824-6857, 2020, 7.
214	N. Gunasekaran and Y. H. Joo, “Nie-Tan Fuzzy Method of Fault-tolerant Wind Energy Conversion Systems via Sampled-Data Control”, IET Control Theory and Applications, Vol. 14, Iss. 11, pp. 1516–1513, 2020, 07.
213	L. Shanmugam, P. Mani, and Y. H. Joo, “Sabilization of Event-triggered-based Neural Network Control System and Its application to Wind Power Generation Systems”, IET Control Theory and Applications, Vol. 14, Iss. 10, pp. 1321–1333, 2020, 07.
212	P. Mani, J. H. Lee, K. W. Kang, and Y. H. Joo, “Digital Controller Design via LMIs for Direct-Driven Surface Mounted PMSG-Based Wind Energy Conversion System“, IEEE Transactions On Cybernetics, Vol. 50, No. 7, pp. 3056-3067, 2020, 07.
211	D. Elayaperumal and Young Hoon Joo, “Visual Object Tracking Using Sparse Context-aware Spatio-temporal Correlation Filter”, Journal of Visual Communication and Image Representation, Vol. 70, Article No. 102820, pp. 1-9, 2020, 7.
210	R. Vadivel, M. S. Ali, and Y. H. Joo, “Event-triggered H∞ synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations”, Journal of Franklin Institute, Vol. 357, No. 7, pp. 4079-4108, 2020, 05.
209	D. Chen and Y. H. Joo, “A Novel Approach to 3D-DOA Estimation of Stationary EM Signals Using Convolutional Neural Networks”, Sensors, vol. 20, No. 2761, 2020, 5.
208	R. Subramaniam, D. R. Song, Young Hoon Joo, “T-S Fuzzy-based Sliding Mode Control Design for Discrete-time Nonlinear Model and Its Applications”, Information Sciences, Vol. 519, pp. 183-199, 2020, 05.
207	M. S. Ali, R. Agalya, V. Shekher, and Y. H. Joo, “Non-fragile sampled data control for stabilization of non-linear multi-agent system with additive time varying delays, Markovian jump and uncertain parameters“, Nonlinear Analysis: Hybrid Systems, Vol 36, Article No. 100830, 2020, 05,
206	X. Deng, J. Yang, Y. Sun, D. R. Song, Y. Yang, and Y. H. Joo, “An Effective Wind Speed Estimation Based Extended Optimal Torque Control for Maximum Wind Energy Capture", IEEE Access, Vol. 8, pp. 65959–65969, 2020, 03.
205	R. Vadivel and Y. H. Joo, “Finite-time sampled-data fuzzy control for a nonlinear system using passivity and passification approaches and its application”, IET Control Theory and Applications, Vol. 14, Iss. 8, pp. 1033–1045, 2020, 3.
204	Y. Pan, Y. H. Joo, and H. Yu, “On performance recovery of robust dynamic surface control”, International Journal of Robust and Nonlinear Control, Vol 30, pp. 3094-3109, 2020, 03.
203	H. J. Kim, J. B. Park, and Y. H. Joo, “Decentralized H∞ sampled-data fuzzy filter for nonlinear interconnected oscillating systems with uncertain interconnections“, IEEE Transactions on Fuzzy Systems, Vol. 28, No. 3, pp. 487-498, 2020, 03.
202	R. Vadivel, M. S. Ali, F. Alzahrani, J. Cao, and Young Hoon Joo, “Synchronization of decentralized event-triggered uncertain switched neural networks with two additive time-varying delays”, Nonlinear Analysis: Modelling and Control, Vol. 25, No. 2, pp. 183–205, 2020, 03.
201	L. Shanmugam, P, Mani, R. Rakkiyappan, and Y. H. Joo, “Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication“, IEEE Transactions on Cybernetics, Vol. 50, No. 3, pp. 911-922, 2020, 03.
200	D. R. Song, J. Liu, J. Yang, M. Su, Y. Wang, X. Yang, L. Huang, and Y. H. Joo, “Corrigendum to “Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization”, Energy, Vol. 195, Article No.: 116794, 2020, 3.
199	D. R. Song, Y. Yanga, S. Zheng, X. Deng, J. Yang, M. Sua, W. Tang, X. Yang, L. Huang, Y. H. Joo, “New perspectives on maximum wind energy extraction of variable-speed wind turbines using previewed wind speeds”, Energy Conversion and Management, Vol. 206, Article No.:112496, 2020, 2.
198	D. R. Song, J. Liu, J. Yang, M. Su, Y. Wang, X. Yang, L. Huang, and Y. H. Joo, “Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization”, Energy, Vol. 193, Article No.: 116794, 2020, 02.
197	G. Nagamani, Y. H. Joo, G. Soundararajan, and R. Mohajerpoor, “Robust Event-Triggered Reliable Control for T-S Fuzzy Uncertain Systems via Weighted Based Inequality“, Information Sciences, Vol. 512, pp. 31-49, 2020, 01.
196	G. Nagamani, Y. H. Joo, and H. S. Kim, “A linear matrix inequality-based robust extended dissipativity criteria for uncertain systems with additive time-varying delays”, IFAC journal of Systems and Control, Vol 10, pp. 1-13, 2019, 12.
195	N. Gunasekaran and Y. H. Joo, “Robust Sampled-data Fuzzy Control for Nonlinear Systems and Its Applications: Free-weight Matrix Method“, IEEE Transactions on Fuzzy Systems, Vol. 27, No. 11, pp. 2130-2139, 2019, 11.
194	H. S. Kim, Y. H. Joo, and K. I. Kim, “Sampled-data H ∞ Fuzzy Observer Design Under Time-varying Sampling Rates and its Applications to the Attitude and Heading Reference System,” International Journal of Electrical Engineering Technology, Vol. 14, No. 6, pp. 2557–2566, 2019, 11.
193	Y. Pan, A. Bobtsov, M. Darouach, and Y. H. Joo, “Learning from adaptive control under relaxed excitation conditions”, International Journal of Adaptive Control and Signal Processing, Vol. 33. pp.1723–1725. 2019. 11.
192	Y. Pan, T. Sun, Y. H. Joo, and H. Yu, “Enhanced parameter estimation in adaptive control via online historical data“, IET Control Theory and Applications, Vol. 13, Iss. 16, pp. 2710-2716, 2019, 11.
191	N. Gunasekaran, R. Saravanakumar, Y. H. Joo, and H. S. Kim, “Finite-time synchronization of sampled-data T–S fuzzy complex dynamical networks subject to average dwell-time approach“, Fuzzy Sets and Systems, vol. 374, pp. 40-59, 2019, 11.
190	X. Deng, J. Yang, Y. Sun, D. R. Song, X. Xiang, X. Ge, and Y. H. Joo, “Sensorless effective wind speed estimation method based on unknown input disturbance observer and extreme learning machine“, Energy, Vol. 186, p. 1-14, 2019, 10.
189	D. R. Song, Q. A. Li, Z. L. Cai, L. Li, J. Yang, M. Su, and Y. H. Joo, “Model predictive control using multi-step prediction model for electrical yaw system of horizontal-axis wind turbines”, IEEE Transactions on Sustainable Energy, Vol. 10, No. 4, pp. 2084-2093, 2019, 10.
188	R. Saravanakumar and Y. H. Joo, “Fuzzy dissipative and observer control for wind generator systems: a fuzzy time-dependent LKF approach“, Nonlinear Dynamics, Vol. 97, pp. 2189–2199, 2019, 09.
187	A. Vinodkumar, M. Prakash, and Y. H. Joo, “Impulsive observer-based output control for PMSG-based Wind Energy Conversion System”, IET Control Theory and Applications, Vol. 13, Iss. 13, pp. 2056-2064, 2019, 9.
186	D. R. Song, Y. Yang, S. Zheng, W. Tang, J. Yang, M. Su, X. Yang, and Y. H. Joo, “Capacity factor estimation of variable-speed wind turbines considering the coupled influence of the QN-curve and the air density”, Energy, Vol. 183, pp. 1049-1060, 2019. 09
185	D. R. Song, J. Liu, J. Yang, M. Sua, S. Yang, X. Yang, and Y. H. Joo, “Multi-objective energy-cost design optimization for the variable-speed wind turbine at high-altitude sites“, Energy Conversion and Management, Vol. 196, pp. 512-524, 2019, 9.
184	P. Mani, R. Rakkiyappan. S. L. Shanmugam, and Y. H. Joo, “Adaptive fractional fuzzy integral sliding mode control for PMSM model“, IEEE Transactions on Fuzzy Systems, Vol. 27, No. 8, pp. 1674–1686, 2019, 08.
183	M. Syed Ali, N. Gunasekaran, and Y. H. Joo, “Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays“, Neural Processing Letters, Vol. 50, pp. 357-378, 2019, 08.
182	S. Arunagirinathan, P. Muthukumar, and Y. H. Joo, “Robust reliable H∞ control design for networked control systems with nonlinear actuator faults and randomly missing measurements“, International Journal of Robust and Nonlinear Control, Vol. 29, No. 12, pp. 4168-4190, 2019. 08.
181	S. H. Hwang, J. B. Park, and Y. H. Joo, “Disturbance observer-based integral fuzzy sliding-mode control and its application to wind turbine system“, IET Control Theory and Applications, Vol. 13, Iss. 12, pp. 1891-1900, 2019, 8.
180	N. Gunasekaran and Y. H. Joo, “Stochastic sampled-data controller for T–S fuzzy chaotic systems and its applications“, IET Control Theory and Applications, Vol. 13, Iss. 12, pp. 1834-1843, 2019, 8.
179	R. Saravanakumar, G. Rajchakit. M. S. Ali, and Y. H. Joo, “Exponential dissipativity criteria for generalized BAM neural networks with variable delays“, Neural Computing and Applications, Vol. 31, pp. 2717-2726, 2019, 07.
178	G. Nagamani and Y. H. Joo, “Event-triggered stabilisation for T–S fuzzy systems with asynchronous premise constraints and its application to wind turbine system“, IET Control Theory and Applications, Vol. 13, Iss. 10, pp. 1532-1542, 2019. 7.
177	P. Mani, R. Rakkiyappan, L, Shanmugam and Y. H. Joo, “Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption“, Information Sciences, Vol 491, pp. 74–89, 2019, 07.
176	K. Subramanian, P. Muthukumar, and Young Hoon Joo, “Leader-following Consensus of Nonlinear Multi-agent Systems via Reliable Control with Time-varying Communication Delay”, International Journal of Control, Automation and Systems, vol. 17, No. 2, pp. 298-306, 2019, 02.
175	H. S. Kim, J. B. Park, and Y. H. Joo, “Fuzzy-model-based sampled-data chaotic synchronisation under the input constraints consideration“, IET Control Theory & Applications, Vol. 13 Iss. 2, pp. 288-296, 2019, 01.
174	S. Narayanamoorthy, S. Geetha, R. Rakkiyappan, and Y. H. Joo, “Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection”, Expert Systems With Applications, vol. 121, pp. 28-37, 2019, 01.
173	R. Saravanakumar, G. Rajchakit, M. S. Ali, Z. Xiang, and Y. H. Joo, “Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays“, Neural Computing and Applications, Vol. 30, pp. 3893-3904, 2018, 12.
172	H. S, Kim and Y, H, Joo, “A Line-integral Fuzzy Lyapunov Functional Approach to Sampled-data Tracking Control of Takagi-Sugeno Fuzzy Systems“, International Journal of Electrical Engineering Technology, vol. 13, No. 6, pp. 2521-2529, 2018,11.
171	M. Syed Ali, N. Gunasekaran, R. Agalya, and Y. H. Joo, “Non-fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations“, International Journal of Systems Science, Vol. 49, No. 16, pp. 3354–3364, 2018, 11.
170	H. J. Kim, J. B. Park, Jand Y. H. Joo,“ Sampled-Data H1 Fuzzy Observer for Uncertain Oscillating Systems wth Immeasurable Premise Variables“, IEEE Access, vol. 6, pp. 58075-58085, 2018, 11.
169	H. J. Kim. J. B. Park, and Y. H. Joo, “ Decentralized H∞ fuzzy filter for nonlinear large-scale sampled-data systems with uncertain interconnections“, Fuzzy Sets and Systems, vol. 344, pp. 145–162, 2018, 8.
168	R. Rakkiyappan, K. Maheswari, K. Sivaranjani, and Y. H. Joo, “Non-fragile finite-time l2−l∞ state estimation for discrete-time neural networks with semi-Markovian switching and random sensor delays based on Abel lemma approach, Nonlinear Analysis: Hybrid Systems, Vol. 29, pp. 283–302, 2018, 8.
167	M. S. Ali, K. Meenakshi, and Y. H. Joo, “Finite-time H∞ Filtering for Discrete-time Markovian Jump BAM Neural Networks with Time-varying Delays“, International Journal of Control, Automation and Systems, Vol. 16, No. 4, pp. 1971-1980, 2018, 8.
166	D. Song, X. Fan, J. Yang, A. Liu, S. Chen, and Y. H. Joo, “Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method”, Applied Energy, Vol. 224, pp. 267-279, 2018, 08.
165	H. J. Kim, J. B. Park, and Y. H. Joo, “Intelligent digital redesign for T–S fuzzy systems: sampled-data filter approach“, IET Control Theory & Applications, Vol. 12, No. 9, pp. 1306-1317, 2018, 06.
164	K. Sivaranjani, R. Rakkiyappan, and Young Hoon Joo, “Event triggered reliable synchronization of semi-Markovian jumping complex dynamical networks via generalized integral inequalities“, Journal of Franklin, Vol. 355, pp. 3691-3716, 2018, 05.
163	G. Nagamani, Y. H. Joo, and T. Radhika, “Delay-dependent dissipativity criteria for Markovian jump neural networks with random delays and incomplete transition probabilities“, Nonlinear Dynamics, Vol. 91, pp. 2503–2522, 2018, 03.
162	G. B. Koo, J. B. Park, and Y. H. Joo, “Intelligent Digital Redesign for Sampled-data Fuzzy Control Systems Based on State-matching Error Cost Function Approach“, International Journal of Control, Automation and Systems, vol. 16, no. 1, pp. 350-359, 2018, 02.
161	H. S. Kim, J. B. Park, and Y. H. Joo, “Sampled-data Control of Fuzzy Systems Based on the Intelligent Digital Redesign Technique: An Input-delay Approach“, International Journal of Control, Automation and Systems, vol. 16, no. 1, pp. 327-334, 2018, 02.
160	R. Saravanakumar, M. S. Ali, H. H. J. Cao, and Y. H. Joo, “Robust H∞ State-feedback Control for Nonlinear Uncertain Systems with Mixed Time-varying Delays“, International Journal of Control, Automation and Systems, vol. 16, no. 1, pp. 225-233, 2018, 02.
159	H. S. Kim, J. B. Park, and Y. H. Joo, “A Fuzzy Lyapunov–Krasovskii Functional Approach to Sampled-Data Output-Feedback Stabilization of Polynomial Fuzzy Systems“, IEEE Transactions on Fuzzy Systems, Vol. 26, No. 1, 2018, 02.
158	D. Song, J. Yanga, X. Fanb, Y. Liuc, A. Liua, G. Chen, and Y. H. Joo, “Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions”, Energy Conversion and Management, Vol. 157, pp. 587-599, 2018, 02.
157	H. S. Kim, J. B. Park, and Y. H. Joo, “Sampled-data control of fuzzy systems based on the intelligent digital redesign method via an improved fuzzy Lyapunov functional approach”, IET Control Theory & Applications, Vol. 12 Iss. 1, pp. 163-173, 2018, 01.
156	L. A. Tuan, Y. H. Joo, P. X. Duong, and L. Q. Tien, “Adaptive Neural Network Second-order Sliding Mode Control of Dual Arm Robots“, International Journal of Control, Automation and Systems, viol. 15, no. 6, pp. 2883-2891, 2017, 12.
155	L. A. Tuan, Y. H. Joo, P. X. Duong, and L. Q. Tien, “Parameter Estimator Integrated-sliding Mode Control of Dual Arm Robots”, International Journal of Control, Automation and Systems, viol. 15, no. 6, pp. 2754-2763, 2017, 12.
154	D. G. Song, J. Yang. M. Su, A. Liu, Z. Cai, Y. Liu, and Y. H. Joo, “A novel wind speed estimator-integrated pitch control method for wind turbines with global-power regulation”, Energy, vol. 138 816-830, 2017, 11.
153	H. S. Kim, J. B. Park, and Y. H. Joo, “Sampled-data Fuzzy Observer Design for an Attitude and Heading Reference System and Its Experimental Validation“,International Journal of Electrical Engineering Technology, Vol. 12, No. 6, pp. 2399-2410, 2017, 11.
152	R. Saravanakumar, G. Rajchakit, M. S. Ali, and Y. H. Joo, “Extended dissipativity of generalised neural networks including time delays”, International Journal of Systems Science, Vol. 48, No. 11, pp. 2311-2320, 2017, 11.
151	G. B. Koo, J. B. Park, and Y. H. Joo, “ An improved digital re design for sample d-data fuzzy control systems: Fuzzy Lyapunov function approach“, Information Sciences, Vol. 406, pp. 71–86, 2017, 09.
150	H. S. Kim, J. B. Park, Y. H. Joo, “A Systematic Approach to Fuzzy-model-based Robust H1 Control Design for a Quadrotor UAV Under Premise Matching“, International Journal of Fuzzy System, Vol. 19, No. 4, pp. 1227–1237, 2017, 8.
149	D. W. Lee, Y. H. Joo, and D. Song, "Local Stability Analysis of T–S Fuzzy Systems Using Second-Order Time Derivative of the Membership Functions", International Journal of Control, Automation and Systems, Vol. 15, No. 4. pp. 1867-1876, 2017, 8
148	D. Song, J. Yang, Y. Liu, M. Su, A. Liu, and Y. H. Joo, “Wind Direction Prediction for Yaw Control of Wind Turbines”, International Journal of Control, Automation and Systems, Vol. 15, No. 4. pp. 1720-1728, 2017, 8
147	H. J. Kim, J. B. Park, and Y. H. Joo, “Decentralized Sampled-Data Tracking Control of Large-Scale Fuzzy Systems: An Exact Discretization Approach“, IEEE Access, Vol. 5, pp. 12668-12681, 2017, 07.
146	D. Song, J. Yang, M. Dong and Y. H. Joo, “Kalman Filter-based Wind Speed Estimation for Wind Turbine Control", International Journal of Control, Automation and Systems, vol. 15, no. 3, pp. 1089-1096, 2017, 6.
145	H. J. Kim, J. B. Park, and Y. H. Joo, “An improved H∞ fuzzy filter for nonlinear sampled-data systems”, International Journal of Control, Automation and Systems, vol. 15, no. 3, pp. 1394-1404, 2017, 6.
144	H. J. Kim, J. B. Park, and Y. H. Joo, “Input-delay approach to sampled-data H∞ control of polynomial systems based on a sum-of-square analysis“, IET Control Theory and Application., vol. 11 Iss. 9, pp. 1474-1484, 2017. 6.
143	G. B. Goo, J. B. Park, and Y. H. Joo, "Sampled-data H∞ fuzzy filtering for nonlinear systems with missing measurements", Fuzzy Sets and Systems, vol. 316, pp. 82-98, 2017, 6.
142	D. Song, J. Yang, M. Dong, and Y. H. Joo, “Model predictive control with finite control set for variable-speed wind turbines“, Energy, vol. pp. 564-572, 2017. 5.
141	D. Song, J. Yang, M. Su, A. Liu, Y. Liu, and Y. H. Joo, “A Comparison Study between Two MPPT Control Methods for a Large Variable-Speed Wind Turbine under Different Wind Speed Characteristics“, Energies, vol. 10, pp. 1-18, 2017, 5.
140	H. J. Kim, J. B. Park, and Y. H. Joo, “Fuzzy Filter for Nonlinear Sampled-data Systems: Intelligent Digital Redesign Approach”, International Journal of Control, Automation and Systems, vol. 15, no. 2, pp. 603-610, 2017, 4.
139	H. J. Kim, J. B. Park, and Y. H. Joo, “H∞ fuzzy filter for non-linear sampled-data systems under imperfect premise matching, IET Control Theory & Applications, Vol. 11 Iss. 5, pp. 747-755, 2017, 3
138	H. S. Kim, J. B. Park, and Y. H. Joo, “Less Conservative Robust Stabilization Conditions for the Uncertain Polynomial Fuzzy System under Perfect and Imperfect Premise Matching”, International Journal of Control, Automation and Systems, vol. 14, no. 6, pp. 1588-1598, 2016, 12.
137	G. B. Goo, J. B. Park, and Y. H. Joo, "Decentralized sampled-data control for large-scale systems with nonlinear interconnections" International Journal of Control, vol. 89, no. 10, pp. 1951-1961, 2016, 10.
136	H. S. Kim, J. B. Park, Y. H. Joo, "Relaxed stability conditions for the Takagi–Sugeno fuzzy system using a polynomial non-quadratic Lyapunov function", IET Control Theory & Applications, Vol. 10, Iss. 13, pp. 1590–1599, 2016, 10
135	D. H. Lee, J. B. Park, Y. H. Joo, and S. K. Kim, "FIR-type State-feedback Control Law for Discrete-time LTI Systems with Polytopic Uncertainties", International Journal of Control, Automation and Systems, Vol. 14, No. 4, pp. 906-914, 2016, 8.
134	D. H. Lee, Y. H. Joo, and H. J. Kim, "A Proposition of Iterative LMI Method for Static Output Feedback Control of Continuous-Time LTI Systems", International Journal of Control, Automation and Systems, vol. 14, No. 3, pp. 666-672, 2016, 6.
133	G. B. Goo, J. B. Park, and Y. H. Joo, "Decentralized Sampled-Data Fuzzy Observer Design for Nonlinear Interconnected Systems", IEEE Trans. on Fuzzy Systems, Vol. 24, No. 3, pp. 661-674, 2016, 6.
132	G. B. Goo, J. B. Park, and Y. H. Joo, "Sampled-Data Observer-Based Decentralized Fuzzy Control for Nonlinear Large-Scale Systems", Int. Journal of Electrical Engineering Technology, Vol. 11, No. 3, pp. 724-732, 2016, 5.
131	S. Y. Noh, G. B. Koo, J. B. Park, and Y. H. Joo, "l¥ Fuzzy Filter Design for Nonlinear Systems with Missing Measurements: Fuzzy Basis-dependent Lyapunov Function Approach", International Journal of Control, Automation and Systems, Vol. 14, No. 2, pp. 425-434, 2016, 4.
130	D. H. Lee, Y. H. Joo, and I. H. Ra, "Local Stability and Local Stabilization of Discrete-time T–S Fuzzy Systems with Time-delay", International Journal of Control, Automation and Systems, Vol. 14, No. 1, pp. 29-38, 2016, 2.
129	G. B. Goo, J. B. Park, and Y. H. Joo, "Intelligent digital redesign of fuzzy controller for non-linear systems with packet losses", IET Control Theory & Applications, Vol. 10, Iss. 3, pp. 292–299, 2016, 2.
128	G. B. Goo, J. B. Park, and Y. H. Joo, "Intelligent digital redesign for nonlinear systems: observer-based sampled-data fuzzy control approach", IET Control Theory & Applications, Vol. 10, Iss. 1, pp. 1–9, 2016, 1.

2011년도~ 2015년도

127	H. J. Kim, J. B. Park, and Y. H. Joo, "Decentralised H∞ fuzzy filter for non-linear arge-scale systems under imperfect premise matching", IET Control Theory & Applications, Vol. 9, Iss. 18, pp. 2704–2714, 2015. 12
126	D. H. Lee, J. B. Park, Y. H. Joo, and S. K. Kim, “Local H∞ Controller Design for Continuous-time T-S Fuzzy Systems”, International Journal of Control, Automation, and Systems, vol. 13, no. 6, pp. 1499-1507, 2015, 12
125	D. H. Lee, Y. H. Joo, and M. H. Tak, "An asymptotically exact LMI solution to the robust discretisation of LTI systems with polytopic uncertainties and its application to sampled-data control", International Journal of Systems Science, Vol. 46, No. 15, pp. 2702–2714, 2015. 11
124	H. Mo, J. B. Park, Y. H. Joo, and Q. Du, "Encoding Selection for a Class of Fitness Functions Based on Locus Interdependency", International Journal of Control, Automation, and Systems, Vol. 13, No. 5, pp. 1277-1285, 2015, 10.
123	D. H. Lee, Y. H. Joo, and S. K. Kim, "FIR-type Robust H2 and H∞ Control of Discrete Linear Time-invariant Polytopic Systems via Memory State-feedback Control Laws", International Journal of Control, Automation, and Systems, Vol. 13, No. 5, pp. 1047-1056, 2015, 10.
122	D. H. Lee and Y. H. Joo, "A Note on Sampled-Data Stabilization of LTI Systems With Aperiodic Sampling", IEEE Transactions on Automatic Control, Vol. 60, No. 10, 2015, 10.
121	M. K. Song, J. B. Park, and Y. H. Joo, " Robust stabilization for uncertain Markovian jump fuzzy systems based on free weighting matrix method," Fuzzy Sets and Systems, Vol 277, pp. 81-96, 2015, 10.
120	D. H. Lee, Y. H. Joo, and M. H. Tak, "LMI Conditions for Local Stability and Stabilization of Continuous-Time T–S Fuzzy Systems", International Journal of Control, Automation, and Systems, Vol. 13, No. 4, pp. 986-994, 2015, 8.
119	D. H. Lee, Y. H. Joo, and M. H. Tak, "A convex optimization approach to adaptive stabilization of discrete-time LTI systems with polytopic uncertainties", Int. J. Adapt. Control Signal Process. Vol. 29, pp. 1116–1134, 2015, 8.
118	H. J. Kim, G. B. Koo, J. B. Park, and Y. H. Joo," Decentralized sampled-data H∞ fuzzy filter for nonlinear large-scale systems", Fuzzy Sets and Systems, vol. 273, pp. 68–86, 2015, 8.
117	D. H. Lee, Y. H. Joo, and S. K. Kim, “H∞ Digital Redesign for LTI Systems”, International Journal of Control, Automation, and Systems, Vol. 13, No. 3. pp. 603-610, 2015, 6.
116	D. H. Lee, J. B. Park, and Y. H. Joo, “Robust Discretization of LTI Systems with Polytopic Uncertainties and Aperiodic Sampling“, International Journal of Electrical Engineering Technology, Vol. 10, No. 3, pp. 1255-1263, 2015, 5.
115	D. H. Lee and Y. H. Joo, "LMI-based Robust Sampled-data Stabilization of Polytopic LTI Systems: A Truncated Power Series Expansion Approach", International Journal of Control, Automation, and Systems, Vol. 13, No. 2. pp. 284-291, 2015, 4.
114	H. S. Son, J. B. Park, and Y. H. Joo, "Segmentalized FCM-based Tracking Algorithm for Zigzag Maneuvering Target", International Journal of Control, Automation, and Systems, Vol. 13, No. 1. pp. 231-237, 2015, 2.
113	D. H. Lee, Y. H. Joo, M. H. Tak, "Periodically time-varying memory static output feedback control design for discrete-time LTI systems", Automatica, Vol. 52, pp. 47–54, 2015. 2.
112	D. H. Lee and Y. H. Joo, "On the Generalized Local Stability and Local Stabilization Conditions for Discrete-Time Takagi–Sugeno Fuzzy Systems, IEEE Transactions on Fuzzy Systems, Vol. 22, No. 6, pp. 1654-1668, 2014, 12.
111	M. K. Song, J. B. Park, and Y. H. Joo, "Further Results on Stability and Stabilization of TS Fuzzy Neutral Systems with Time-Varying Delays Using Delay Dividing Approach“, International Journal of Humanoid Robotics, Vol. 11, No. 4, pp. 1-18, 2014, 11.
110	Z. Wei, B. Y. Moon, and Y. H. Joo, "Smooth Wind Power Fluctuation Based on Battery Energy Storage System for Wind Farm", International Journal of Electrical Engineering Technology, Vol. 9, No. 6, pp. 2134-2141, 2014, 11.
109	H. C. Sung, J. B. Park, and Y. H. Joo, “Observer-based sampled-data control for nonlinear systems: Robust intelligent digital redesign approach”, International Journal of Control, Automation, and Systems, Vol. 13, No. 1. pp. 486-496, 2014, 6.
108	D. H. Lee, Y. H. Joo, M. H. Tak, Periodically Time-Varying Memory Filter Design for Discrete-Time LTI Systems With Polytopic Uncertainty", IEEE Transactions on Automatic Control, Vol. 59, No. 5, pp. 1380-1385, 2014, 5.
107	G. B. Koo, J. B. Park, and Y. H. Joo, "Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach", IEEE Transactions on Fuzzy Systems, Vol. 22, No. 2, pp. 1654-1668, pp. 406-419, 2014, 4.
106	D. H. Lee and Y. H. Joo, “Extended Robust H2 and H∞ Filter Design for Discrete Time-Invariant Linear Systems with Polytopic Uncertainty”, Circuits Syst Signal Process, , Vol. 33, No. 2, pp. 393–419, 2014, 2.
105	M. K. Song, J. B. Park, and Y. H. Joo, “Stability Analysis and Fuzzy Control for Markovian Jump Nonlinear Systems with Partially Unknown Transition Probabilities“, IEICE TRANS,. 2014. 02
104	D. H. Lee, Y. H. Joo, and M. H. Tak, “Local stability analysis of continuous-time Takagi–Sugeno fuzzy systems: A fuzzy Lyapunov function approach”, Information Sciences, Vol. 257, pp. 163–175, 2014, 2.
103	M. K. Song, J. B. Park, and Y. H. Joo, "Delay range dependent fuzzy control design for nonlinear neutral systems with time varying delays", Journal of Intelligent & Fuzzy Systems, Vol. 26, pp. 143–152, 2014, 01
102	G. B. Koo, J. B. Park, and Y. H. Joo, “Intelligent Digital Redesign for Nonlinear Systems using a Guaranteed Cost Control Method”, International Journal of Control, Automation, and Systems, Vol. 11, No. 6, pp. 1075-1083, 2013. 12.
101	C. Ham, W. S. Ko, K. C. Lin, and Y. H. Joo, “Study of a Hybrid Magnet Array for an Electrodynamic Maglev Control”, Journal of Magnetics, Vol. 18, No. 3, pp. 370-374, 2013, 09.
100	G. B. Koo, J. B. Park,Y. H. Joo, “Guaranteed cost sampled-data fuzzy control for non-linear systems: a continuous-time Lyapunov approach”, IET Control Theory Appl., 2013, Vol. 7, Iss. 13, pp. 1745–1752, 2013, 09.
99	K. C. Lin, D. Lee, L. An, Y. H. Joo, “Finite-Size Scaling Features of Electric Conductivity Percolation in Nanocomposites”, Nanoscience and Nanoengineering, Vol. 1, No. 1, pp. 15-22, 2013, 7.
98	H. S. Son, J. B. Park, and Y. H. Joo, "Fuzzy c-means clustering-based smart tracking model for three-dimensional manoeuvring target including unknown acceleration input“, IET Radar, Sonar & Navigation, Vol. 7, No. 6, pp. 623-634, 2013, 07.
97	D. H. Lee, M. H. Tak, and Y. H. Joo, "A Lyapunov Functional Approach to Robust Stability Analysis of Continuous-Time Uncertain Linear Systems in Polytopic Domains", International Journal of Control, Automation, and Systems, Vol. 11, No. 3, pp. 460-469, 2013, 06.
96	S. Y. Noh, J. B. Park, and Y. H. Joo, "L∞ Fuzzy Filter for Nonlinear Systems with Intermittent Measurement and Persistent Bounded Disturbances", IET Radar, Sonar & Navigation, Vol. 7, No. 5, pp. 489-496, 2013, 06.
95	M. K. Song, J. B. Park, and Y. H. Joo "Stability and Stabilization for Discrete-time Markovian Jump Fuzzy Systems with Time-varying Delays; Partially Known Transition Probabilities Case", Int. Journal of Control, Automation, and Systems, Vol. 11. No. 1, pp. 136-146, 2013, 02.
94	J. K. Kim and Y. H. Joo, “Visual Multi-touch Air Interface for Barehanded Users by Skeleton Models of Hand Regions”, Int. Journal of Control, Automation, and Systems, Vol. 11. No. 1, pp. 84-91, 2013, 02.
93	G. B. Koo, J. B. Park, Y. H. Joo, “Exponential mean-square stabilisation for non-linear systems: sampled-data fuzzy control approach”, IET Control Theory & Applications, Vol. 6, Issue. 18, pp. 2765–2774, 2012, 12,
92	H. C. Sung, J. B. Park, and Y. H. Joo "Robust Control of Observer-based Sampled Data Systems: Digital Redesign Approach", IET Control Theory & Applications, Vol. 6, Issue. 12, pp. 1842–850, 2012, 12,
91	H. J. Kim, Y. H. Joo, and J. B. Park, “Controller Design for Continuous-Time Takagi-Sugeno Fuzzy Systems with Fuzzy Lyapunov Functions : LMI Approach”, Int. Journal of Fuzzy Logic and Intelligent Systems, Vol. 12, No. 3, pp. 187-192 , 2012, 09.
90	S. C. Jee, H. J. Lee, and Y. H. Joo, “H_/H∞ Sensor Fault Detection and Isolation in Linear Time-Invariant Systems”, Int. Journal of Control, Automation, and Systems, Vol. 10, No. 4, 2012, 08.
89	D. H. Yeom and Y. H. Joo, "Control Lyapunov Function Design by Cancelling Input Singularity", International Journal of Fuzzy Logic and Intelligent Systems, vol. 12, no. 2, pp. 131-136, 2012, 06.
88	H. C. Sung, J. B. Park, Y. H. Joo, and K. C. Lin, "Robust Digital Implementation of Fuzzy Control for Uncertain Systems and Its Application to Active Magnetic Bearing System", International Journal of Control, Automation, and Systems, Vol. 10, No. 3, pp. 603-612, 2012, 06.
87	G. B. Koo, J. B. Park, and Y. H. Joo, “Intelligent Digital Redesign for Nonlinear Interconnected Systems using Decentralized Fuzzy Control”, Journal of Electrical Engineering & Technology, Vol. 7, No. 3, pp. 420-428, 2012, 5.
86	S. C. Kim, H. J. Lee, and Y. H. Joo, "H_inf/H Sensor Fault Detection Observer Design for Nonlinear Design for Nonlinear Systems in Takagi-Sugeno's Form", Nonlinear Dynamics, Vol. 67, pp. 2343-2351, 2012, 3.
85	H. S. Son, J. B. Park, and Y. H. Joo, "SIMM Method Based on Acceleration Extraction for Nonlinear Maneuvering Target", Journal of Electrical Engineering & Technology Vol. 7, No. 2, pp. 255~263, 2012, 3.
84	D. H. Lee, J. B. Park, Y. H. Joo, "A Fuzzy Lyapunov Function Approach to Estimating the Domain of Attraction for Continuous-time Takagi-Sugeno Fuzzy Systems", Information Sciences, Vol. 185, issue 1, pp. 230 - 248, 2012, 2.
83	M. K. Song, J. B. Park, and Y. H. Joo, "A Delay Partitioning Approach to Delay-Range-Dependent Stability Analysis of Fuzzy Systems", International Journal of Control, Automation, and Systems, Vol. 10, No. 1, pp. 143-149, 2012, 2
82	D. H. Yeom. J. B. Park. and Y. H. Joo, "Stabilization of LTI Systems with Unstructured Uncertainty Using Quadratic Disc Criterion", Journal of Electrical Engineering & Technology, Vol. 7, No. 1, pp. 124~131, 2012, 01.
81	D. H. Lee, J. B. Park, Y. H. Joo, and K. C. Lin, "Lifted Versions of Robust D-Stability and D-Stabilization Conditions for Uncertain Polytopic Linear Systems", IET. Control Theory & Applications, Vol. 6, issue 1, pp. 24-36, 2012, 01.
80	G. B. Koo, J. B. Park, and Y. H. Joo, “Observer-based sampled-data controller of linear system for the wave energy converter”, International Journal of Fuzzy Logic and Intelligent Systems, vol. 11, no. 4, pp. 275-279, 2011, 12.
79	H. C. Sung, J. B. Park, and Y. H. Joo, "Robust Observer-based Fuzzy Control for Variable Speed Wind Power System : LMI Approach", Int. Journal of Control, Automation, and Systems, Vol. 9, No. 6, pp. 1103-1110, 2011, 12.
78	D. H. Lee, J. B. Park, Y. H. Joo, "Fundamental Connections among the Stability Conditions Using Higher-order Time-derivatives of Lyapunov Functions for the Case of Linear Time-invariant Systems", Systems & Control Letters, Vol. 60, Issue 9, pp. 778-785, 2011, 9.
77	J. S. Kim. D. H. Yeom, and Y. H. Joo, "Fast and Robust Algorithm of Tracking Multiple Moving Objects for Intelligent Video surveillance", IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, pp. 1165-1170, 2011, 08.
76	D. H. Lee, J. B. Park, and Y. H. Joo, "A New Fuzzy Lyapunov Function for Relaxed Stability Condition of Continuous-time Tagaki-sugano Fuzzy Applications", IEEE. Trans. on Fuzzy Systems, Vol. 19, No. 4, pp. 785-791, 2011, 8.
75	K. B. Koo, J. B. Park, and Y. H. Joo, "Robust Fuzzy Controller for Large-Scale Nonlinear Systems Using Decentralized Static Output-Feedback", Int. Journal of Control, Automation, and Systems, vol. 9, no. 4, pp.649-658, 2011, 8.
74	D. H. Lee, J. B. Park, Y. H. Joo, “Further improvement of periodic control approach for relaxed stabilization condition of discrete-time Takagi–Sugeno fuzzy systems”, Fuzzy Sets and Systems Vol. 174, pp. 50–65, 2011, 7.
73	D. H. Lee, J. B. Park, and Y. H. Joo, "Further Theoretical Justification of the k-samples Variation Approach for Discrete-time Takagi-Sugeno Fuzzy systems", IEEE Trans. Fuzzy Systems, Vol. 19, No. 3, pp. 594-597, 2011, 6.
72	D. H. Lee, J. B. Park, and Y. H. Joo, "A Less Conservative LMI Condition for Robust D-Stability of Polynomial Matrix Polytopes-A Projection Approach", IEEE Trans. on Automatic Control, Vol. 56, No. 4, pp. 868-873, 2011, 4.
71	D. H. Lee, J. B. Park, Y. H. Joo, "Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi–Sugeno fuzzy systems", Automatica, Vol. 47, No. 3, pp. 534–538, 2011, 3.

2006년도~ 2010년도

70	D. W. Kim, J. B. Park, and Y. H. Joo, "Asymptotic stability of digitally redesigned control systems", International Journal of Control Vol. 83, No. 12, pp. 2463–2470, 2010, 12.
69	J. S. Kim, D. H. Yeom, J. B. Park, and Y. H. Joo, "Intelligent Unmanned Anti-theft System Using Network Camera", Int. Journal of Control, Automation, and Systems, Vol. 8, No. 5, pp. 967-974, 2010, 10.
68	D. H. Lee, J. B. Park, Y. H. Joo, K. C. Lin, and C. H. Ham, “Robust H-Inf Control for Uncertain Nonlinear Active Magnetic Bearing Systems via Takagi-Sugeno Fuzzy Models”, International Journal of Control, Automation, and Systems, Vol. 8, No. 3, pp. 636-646, 2010, 6.
67	D. H. Yeom, Y. H. Joo, and J. B. Park, "Selection of Coefficient for Equalizer on Optical Disc Drive by Golden Search", IEEE Transactions on Consumer Electronics, Vol. 56, No. 2, pp. 657-662, 2010, 05.
66	K. B. Kim, D. H. Song, Y. H. Joo, H. J. Lee, and Y. W. Woo, "Extraction of Muscle Areas from Ultrasonographic Images Using Refined Histogram Stretching and Fascia Information", Journal of Computation and Theoretical Nanoscience, Vol. 7, No, 5, pp. 921-926, 2010, 05.
65	D. H. Lee, J. B. Park, and Y. H. Joo, “Improvement on Nonquadratic Stabilization of Discrete-Time Takagi–Sugeno Fuzzy Systems: Multiple-Parameterization Approach”, IEEE Trans. Fuzzy Systems, Vol. 18, No. 2, pp. 425-429, 2010, 04.
64	H. C. Sung, D. W. Kim, J. B. Park, Y. H. Joo. "Robust digital control of fuzzy systems with parametric uncertainties: LMI-based digital redesign approach, Fuzzy Sets and Systems Vol. 161, pp. 919-933, 2010, 3.
63	H. Mo, Z. Li, J. B. Park, Y. H. Joo, and X. Li, "Fitness Landscape for Simple Genetic Algorithms Supplied with Adequate Superior Order-1 Building Blocks", International Journal of Control, Automation, and Systems, Vol. 8, No. 1, pp.135-140, 2010, 2.
62	Y. S. Youk, S. H. Kim, and Y. H. Joo, "Intelligent Data Reduction Algorithm for Sensor Network Based Fault Diagnostic System", International Journal of Fuzzy Logic and Intelligent Systems, vol. 9, no. 4, pp. 301-308, 2009, 12.
61	D. W. Kim J. B. Park, and Y. H. Joo, "Observer-based Digital Control of Nonlinear Systems with Sampled Output Measurements", IET Proc. Control Theory & Applications, Vol. 3, Issue. 8, pp. 1070–1080, 2009, 8.
60	H. C. Song, R. Diolata, and Y. H. Joo, "Photovoltaic System Allocation Using Discrete Particle Swarm Optimization with Multi-level Quantization", Journal of Electrical & Technology, Vol. 4, No. 2, pp. 185-193, 2009, 6.
59	H. Mo, Z. LI, J. B. Park, Yand . H. Joo, "On the Supply of Superior Order-1 Building Blocks for a Class of Periodical Fitness Functions", International Journal of Computational Intelligence Systems, Vol. 2, No. 1, pp. 91-98, 2009, 3.
58	M. Khalid, R. Sankar, and Y. H. Joo, "A Framework for Universal Cross Layer Networks", Intelligent Journal of Fuzzy Logic and Intelligent Systems, Vol. 6, No. 3, pp. 256-261, 2008, 12
57	D. W. Kim, J. B. Park, and Y. H. Joo, "Theoretical justification of approximate norm minimization method for intelligent digital redesign", Automatica, Vol. 44, issue 3, pp. 851-856, 2008, 3.
56	D. W. Kim, J. B. Park, Y. H. Joo, "Effective digital implementation of fuzzy control systems based on approximate discrete-time models", Automatica, Vol. 43, issue 10, pp. 1671-1683, 2007, 10.
55	S. Y. Noh, J. B. Park, and Y. H. Joo, “Intelligent tracking algorithm for manoeuvering target using Kalman filter with fuzzy gain”, IET Proceedings: Radar, Sonar, and Navigation, Vol. 1, No. 3, pp. 241-247, 2007, 6.
54	H. J. Lee, J. B. Park, and Y. H. Joo, "Robust load-frequency control for uncertain nonlinear power systems: A fuzzy logic approach", Information Sciences, Vol. 176, pp. 3520-3537, 2006. 12
53	S. Y. Noh, J. B. Park, and Y. H. Joo, "IMM Method Using Tracking Filter with Fuzzy Gain", Lecture Notes in Artificial Intelligence, Vol. 4293, pp. 756-766, 2006, 10.
52	Y. H. Joo, S. H. Kim, and K. B. Kim, "PWM Fuzzy Controller for Nonlinear Systems", Lecture Notes in Artificial Intelligence, Vol. 4223, pp. 129-138, 2006, 9.
51	D. W. Kim, J. B. Park, and Y. H. Joo, "Stabilization of Multirate Sampled-Data Fuzzy Systems Based on an Approximate Discrete-Time Model, Lecture Notes in Artificial Intelligence, Vol. 4223, pp. 49-58, 2006, 9.
50	T. Y. Kim, J. B. Park, and Y. H. Joo, "Robust H∞ Fuzzy Controller for Uncertain Nonlinear Systems with Time-Varying Delayed State, Lecture Notes in Artificial Intelligence, Vol. 4223, pp. 21-30, 2006, 9.
49	M. H. Kim, J. B. Park, I. H. Ra, and Y. H. Joo, "Hybrid Silhouette Extraction Method for Detecting and Tracking the Human Motion", Lecture Note in Computer Sciences(LNCS), Vol. 4222, pp. 687-695, 2006, 8.
48	D. W. Kim, J. B. Park, Y. H. Joo, and S. H. Kim, "Multirate Digital Control for Fuzzy Systems: LMI-Based Design and Stability Analysis," International Journal of Control, Automation, and Systems, vol. 4, no. 4, pp. 506-515, 2006, 8
47	H. J. Lee, J. B. Park, and Y. H. Joo, "Further Refinement on LMI-Based Digital Redesign: Delta-Operator Approach", IEEE Transactions on Circuits and Systems—II: Express Briefs, Vol. 53, No. 6, 2006, 6
46	D. W. Kim, H. J. Lee, Y. H. Joo, and J. B. Park, "GA-Based Construction of Fuzzy Classifiers Using Information Granules", Int. Journal of Control, Automation, and Systems", Vol. 4, No. 2, pp. 187-196, 2006, 4.
45	D. W. Kim, J.B. Park, H. J. Lee, and Y.H. Joo, "Discritisation of Continuous-time T-S Fuzzy System: Global Approach", IEE Proceedings-Control Theory and Applications, Vol. 153, No. 2, pp. 237-246, 2006, 3.

2001년도~ 2005년도

44	T. R. Kim, Y. H. Joo, J. B. Park, and G. Chen, "Anticontrol of Chaos for a Continuous-Time Tagaki-Sugeno Fuzzy System Local Time-Delay Feedback", International Journal of Bifurcation and Chaos, Vol. 15, No. 12, 2005. 12
43	D. W. Kim, J. B. Park, and Y. H. Joo, "Evolutionary Design of Fuzzy Classifiers Using Information Granules", Lecture Notes in Artificial Intelligence(LNAI), Vol. 3809, pp. 380-388, 2005. 12.
42	M. H. Kim, J. B. Park, Y. H. Joo, and W.G. Lim, “Identification of T-S Fuzzy Classifier via Linear Matrix Inequalities”, Lecture Notes in Artificial Intelligence(LNAI), Vol. 3809, pp. 1234-1237, 2005. 12.
41	D. W. Kim, J. B. Park, and Y. H. Joo, "Fuzzy Classifier with Bayes Rule Consequent", Vol. 3809, Lecture Notes in Artificial Intelligence(LNAI), Vol. 3809, pp. 1130-1134, 2005. 12.
40	M. H. Kim, J. B. Park, and Y. H. Joo , “New Fuzzy Skin Model for Face Detection”, Lecture Notes in Artificial Intelligence(LNAI), Vol. 3809, pp. 557-566, 2005. 12.
39	H. J. Lee, J. B. Park, and Y.H. Joo, "Digitalizing a Fuzzy Observer-Based Output-Feedback Control: Intelligent Digital Redesign Approach", IEEE Transactions on Fuzzy Systems, Vol. 13, No. 5, pp. 701-716, 2005, 10.
38	H. J. Lee, J. B. Park, and Y. H. Joo, "Robust Switching-Type Fuzzy-Model-B ased Output Tracker", Int. Journal of Control, Automation, and Systems, Vol. 3, No. 3, 411-418, 2005, 9.
37	D. W. Kim, J. B. Park, and Y. H. Joo, "Intelligent Digital Control for Nonlinear Systems with Multirate Sampling", Lecture Notes in Artificial Intelligence, Vol. 3613, pp. 886 - 889, 2005, 8.
36	D. W. Kim, Y. H. Joo, and J. B. Park, "Design of Fuzzy Rule-Based Classifier: Pruning and Learning, Lecture Notes in Artificial Intelligence, Vol. 3613, pp. 416-425, 2005, 8.
35	M. H. Kim, Y. H. Joo, and J. B. Park, and H. J. Lee, "Design of T-S Fuzzy Classifier via Linear Matrix Inequality Approach", Lecture Notes in Artificial Intelligence, Vol. 3613, pp. 406-415, 2005, 8.
34	H. J. Lee, J. B. Park, and Y. H. Joo, "Robust Control for Uncertain Takagi-Sugeno Fuzzy Systems with Time-Varying Input Delay", Journal of Dynamic Systems, Measurement and Control-Transactions of the ASME, Vol. 127, pp. 302-306, 2005, 7.
33	K. B. Kim, S.S. Kim, Y. H. Joo, A. S. Oh, "Enhanced Fuzzy Single Layer Perceptron", Lecture Note in Computer Sciences, Vol. 3496, pp. 603-608, 2005, 5.
32	B. J. Lee, J. B. Park, and Y. H. Joo, "IMM Algorithm Using Intelligent Input Estimation for Maneuvering Target Tracking", IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E88-A, No. 5, pp. 1320-1327, 2005, 5.
31	B. J. Lee, J. B. Park, H. J. Lee, and Y. H. Joo, "Fuzzy-Logic-Based IMM Algorithm for Tracking a Maneuvering Target", IEE-Proceedings -Radar, Sonar, and Navigation, Vol. 152, No. 1, pp. 16-22, 2005, 2.
30	B. J. Lee, J. B. park, and Y. H. Joo, "An Intelligent Kalman Filter for Tracking a Maneuvering Target", IEE-Proceedings-Radar, Sonar, and Navigation, Vol. 151, No. 6, pp. 344-350, 2004, 12.
29	K. B. Kim, Y. H. Joo, and J. H. Cho, "An Enhanced Fuzzy Neural Network", Lecture Note in Computer Sciences, Vol. 3320, pp. 176-179, 2004, 12.
28	D. W. Kim, Y. H. Joo, and J. B. Park, "Digital Control for Takagi-Sugeno Fuzzy System with Multirate Sampling", Int. Journal of Fuzzy logic and Intelligent Systems, Vol. 4, No. 2, pp. 199-204, 2004, 9.
27	H. J. Lee, W. Chang, J. B. Park, and Y. H. Joo, "A New Intelligent Digital Redesign for TS Fuzzy Systems: Global Approach", IEEE Transactions on Fuzzy Systems, Vol. 12, No. 2, pp. 274-284, 2004, 4.
26	Y. H. Joo, "Intelligent Digital Controller Using Digital Redesign", Int. Journal of Fuzzy logic and Intelligent Systems, Vol. 3, No. 2, pp. 187-193, 2003, 12
25	W. Chang, J. B. Park, Y. H. Joo, and G. Chen, "Output Feedback Fuzzy Control for Uncertain Nonlinear Systems," Journal of Dynamical Systems, Measurement and Control(Transactions on ASME), Vol. 125, pp. 521-530, 2003, 12.
24	H. J. Lee, J. B. Park and Y. H. Joo, "An Efficient Observer-based Sampled-data Control: Digital Redesign Approach," IEEE Transactions on Circuits and Systems: Part-I, Vol. 50, No. 12, pp. 1595-1601, 2003, 12.
23	Y. H. Joo and Y. W. Lee, "Wavelet-Based Fuzzy Modeling Using a DNA Coding Method", Int. Journal of Fuzzy logic and Intelligent Systems", Vol. 3, No. 1, pp. 121-126, 2003, 6.
22	H. J. Lee, J. B. Park, and Y. H. Joo, "Comments on "Output Tracking and Regulation of Nonlinear System Based on Takagi-Sugeno Fuzzy Model", IEEE Trans. on System, Man and Cybernetics: Part-B, Vol. 33, No,3, pp. 521-523, 2003, 6.
21	W. Chang, J. B. Park, Y. H. Joo, and G. Chen, "Static Output Feedback Fuzzy Controller for Chen's Chaotic Attractor with Uncertainties", Information Science, Vol. 151, pp. 227-244, 2003. 5
20	B. J. Lee, Y. H. Joo, and J. B. Park, "An Intelligent Tracking Method for a Maneuvering Target", Int. Journal of Control, Automation, and Systems", Vol. 1, No. 1, pp. 97-100, 2003, 3
19	W. Chang, J. B. Park and Y. H. Joo, "GA-Based Intelligent Digital Redesign of Fuzzy-model-based Controllers," IEEE Transactions on Fuzzy Systems, Vol. 11, No. 1, pp. 35-44, 2003, 2.
18	Y. H. Joo, Y. W. Lee, D. B. Cha, and J. H. Oh, "Intelligent Digitally Redesigned Fuzzy Controller",Int. Journal of Fuzzy logic and Intelligent Systems", Vol. 2, No. 3, pp. 221-226, 2002, 12.
17	Z. Li, J. B. Park, G. Chen, Y. H. Joo, Y. H. Choi, "Generating Chaos via FeedbackControl from a TS Fuzzy System through a Sinusoidal Nonlinearity", International Journal of Bifurcation and Chaos, Vol. 12, No. 10, pp. 2283-2291, 2002, 10.
16	W. Chang, J. B. Park, H. J. Lee, and Y. H. Joo, "An LMI Approach to Digital Redesign of Linear Time-Invariant Systems", IEE Proceedings-Control Theory and Applications, Vol. 149, No. 4, pp. 297-302, 2002, 7.
15	Y. H. Joo, S. J. Lee, and J. H. Oh, "Intelligent Fuzzy Controller for Nonlinear Systems," Int. Journal of Fuzzy logic and Intelligent Systems", Vol. 2, No. 2, pp. 139-145, 2002, 6.
14	K. B. Sim, C. H. Park, D. W. Lee, and Y. H. Joo, "Emotion Recognition Based on Frequency Analysis of Speech Signal," Int. Journal of Fuzzy logic and Intelligent Systems", vol. 2, No. 2, pp. 122-126, 2002, 6.
13	W. Chang. J. B. Park, Y. H. Joo, and G. Chen, "Design of Sampled-Data Fuzzy-Model-Based Control Systems by Using Intelligent Digital Redesign," IEEE Trans. on Circuits and Systems: Part-I, Vol. 49, No. 4, pp. 509-517, 2002, 4.
12	J. I. Choi, J. H. Oh, and Y. H. Joo, "Fuzzy Model Identification Using VmGA", Int. Journal of Fuzzy logic and Intelligent Systems", Vol. 2, No. 1, pp. 53-58, 2002, 3.
11	Z. Li, J. B. Park, Y. H. Joo and G. Chen, "Bifurcation and Chaos in a Permanent-Magnet Synchronous Motor", IEEE Trans. on Circuits & Systems: Part-I, Vol. 49, No. 3, pp. 383-387, 2002. 3.
10	Z. Li, J. B. Park, Y. H. Joo, and G. Chen, "Anticontrol of Chaos for Discrete T-S Fuzzy Systems," IEEE Trans. on Circuits & Systems: Part-I, Vol. 49, No. 2, pp.249-253, 2002. 2.
9	W. Chang, J. B. Park, Y. H. Joo and G. R. Chen, "Robust Fuzzy-Model-Based Controller for a Class of SISO Nonlinear Systems", Fuzzy Sets and Systems, Vol. 125, pp. 1-22, 2002, 1.
8	Z. Li, J. B. Park, and Y. H. Joo, "Chaotifying Continuous-Time TS Fuzzy Systems via Discretization', IEEE Trans. on Circuits and Systems: Part-I, Vol. 48, No. 10, pp. 1237-1243, 2001, 10.
7	W. Chang, Y. H. Joo, and J. B. Park, "Optimal Intelligent Digital Redesign for a Class of Fuzzy-model-Based Controller", Int. Journal of Fuzzy Logic and Intelligent Systems", vol. 1, No. 1, pp. 113-118, 2001, 6.

1993년도~ 2000년도

6	Y. H. Joo, L. S. Shieh, and G. R. Chen, "Hybrid State-Space Fuzzy-Model-Based Controller with Dual-Rate Sampling for the Digital Control of Chaotic Systems", IEEE Trans. on Fuzzy Systems, Vol. 7, No. 4, pp. 394-408, Aug. 1999.
5	Y. H. Joo, H. S. Hwang, K. B. Kim, and K. B. Woo, “Fuzzy System Modeling by Fuzzy Partition and GA Hybrid Schemes", Fuzzy Sets and Systems, Vol. 86, No. 3, pp. 279-288, Mar. 1997.
4	Y. H. Joo, H. S. Hwang, K. B. Kim, and K. B. Woo, “Fuzzy System Modeling and Its Application to Mobile Robot Control", Fuzzy Logic and Its Applications to Engineering, Information Sciences, and Intelligent Systems, Int. Pub. of Kluwer Academic Publishers, pp. 147-156, Nov. 1995.
3	Y. H. Joo, H. S. Hwang, K. B. Kim, and K. B. Woo, "Linguistic Model Identification for Fuzzy System", Electronics Letters, Vol. 31, No. 4. pp. 330-331, Feb. 1995.
2	Y. H. Joo, H. S. Hwang, K. B. Woo, K. W. Bae, and S. K. Kim, “Intelligent navigation control of an autonomous mobile robot”, Control Engineering Practice, Volume 2, Issue 1, pp 281-286, 1994, 2.
1	H. S. Hwang, Y. H. Joo, H. K. Kim, and K. B. Woo, “Identification of fuzzy control rules utilizing genetic algorithms and its application to mobile robots”, Control Engineering Practice, Volume 1, Issue 1, pp 249-254, 1993, 2.