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Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems Journal article
Hu, Yunfeng, Zhang, Chong, Wang, Bo, Zhao, Jing, Gong, Xun, Gao, Jinwu, Chen, Hong. Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11(2), 344-361.
Authors:  Hu, Yunfeng;  Zhang, Chong;  Wang, Bo;  Zhao, Jing;  Gong, Xun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:15.3/10.3 | Submit date：2024/02/22
Adaptive Control  Control System Synthesis  Data-driven Iterative Learning Control  Neurocontroller  Nonlinear Discrete Time Systems  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
Liu, Yan-Jun, Li, Shu, Tong, Shaocheng, Chen, C. L. Philip. Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30(1), 295-305.
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite | TC[WOS]:90 TC[Scopus]:97  IF:10.2/10.4 | Submit date：2019/01/17
Discrete-time Systems  Neural Networks (Nns)  Nonlinear Systems  Optimal Control  Reinforcement Learning  
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems Journal article
Liu, Yan-Jun, Li, Shu, Tong, Shaocheng, Chen, C. L. Philip. Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28(7), 1531-1541.
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite | TC[WOS]:69 TC[Scopus]:71  IF:10.2/10.4 | Submit date：2018/10/30
Adaptive Control  Neural Networks (Nns)  Nonlinear Discrete-time (Dt) Systems  Nonstrict Feedback  
Neural approximation-based adaptive control for a class of nonlinear nonstrict feedback discrete-time systems Journal article
Liu Y.-J., Li S., Tong S., Chen C.L.P.. Neural approximation-based adaptive control for a class of nonlinear nonstrict feedback discrete-time systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(7), 1531-1541.
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite | TC[WOS]:69 TC[Scopus]:71 | Submit date：2019/02/11
Adaptive Control  Neural Networks (Nns)  Nonlinear Discrete-time (Dt) Systems  Nonstrict Feedback  
Piezoelectric positioning control with output-based discrete-time terminal sliding mode control Journal article
Xu, Qingsong, Cao, Zhenwei. Piezoelectric positioning control with output-based discrete-time terminal sliding mode control[J]. IET CONTROL THEORY AND APPLICATIONS, 2017, 11(5), 694-702.
Authors:  Xu, Qingsong;  Cao, Zhenwei
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:2.2/2.2 | Submit date：2018/10/30
Piezoelectric Actuators  Discrete Time Systems  Variable Structure Systems  Nanopositioning  Micropositioning  Motion Control  Robust Control  Nonlinear Control Systems  Uncertain Systems  External Disturbances  Model Uncertainty  Robustness Feature  Motion Tracking Application  Conventional Linear Discrete-time Sliding-mode Control  Nonlinear Dtsmc Robust Control  Stability  Precision Motion Control  Micro-nanomanipulation Domain  Piezoelectric Actuation  Nanopositioning Systems  Output-based Discrete-time Terminal Sliding Mode Control  Piezoelectric Positioning Control  
Adaptive neural network output-feedback control for a class of discrete-time nonlinear systems in presence of input saturation Conference paper
Wang X., Li T., Chen C.L.P.. Adaptive neural network output-feedback control for a class of discrete-time nonlinear systems in presence of input saturation[C], 2017, 165-173.
Authors:  Wang X.;  Li T.;  Chen C.L.P.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11
Discrete-time Nonlinear Systems  Input Saturation Constraint  Neural Network Control  Output-feedback Control  
Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems Journal article
Liu Y.-J., Tang L., Tong S., Chen C.L.P., Li D.-J.. Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(1), 165.
Authors:  Liu Y.-J.;  Tang L.;  Tong S.;  Chen C.L.P.;  Li D.-J.
Favorite | TC[WOS]:202 TC[Scopus]:216 | Submit date：2018/10/30
Adaptive Control  Discrete-time Systems  Online Approximators  Reinforcement Learning (Rl)  Uncertain Nonlinear Systems.  
Adaptive NN controller design for a class of nonlinear MIMO discrete-time systems Journal article
Liu Y.-J., Tang L., Tong S., Chen C.L.P.. Adaptive NN controller design for a class of nonlinear MIMO discrete-time systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(5), 1007.
Authors:  Liu Y.-J.;  Tang L.;  Tong S.;  Chen C.L.P.
Favorite | TC[WOS]:152 TC[Scopus]:167 | Submit date：2018/10/30
Adaptive Control  Discrete-time  Input Nonlinearity  Neural Networks  Uncertain Nonlinear Systems  
Adaptive robust control based on single neural network approximation for a class of uncertain strict-feedback discrete-time nonlinear systems Journal article
Wang X., Li T., Chen C.L.P., Lin B.. Adaptive robust control based on single neural network approximation for a class of uncertain strict-feedback discrete-time nonlinear systems[J]. Neurocomputing, 2014, 138, 325-331.
Authors:  Wang X.;  Li T.;  Chen C.L.P.;  Lin B.
Favorite | TC[WOS]:36 TC[Scopus]:37 | Submit date：2019/02/11
Adaptive Robust Control  Backstepping  Discrete-time Nonlinear Systems  Single Neural Network (Snn)  
Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems Journal article
Liu Y.-J., Chen C.L.P., Wen G.-X., Tong S.. Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems[J]. IEEE Transactions on Neural Networks, 2011, 22(7), 1162.
Authors:  Liu Y.-J.;  Chen C.L.P.;  Wen G.-X.;  Tong S.
Favorite | TC[WOS]:324 TC[Scopus]:343 | Submit date：2018/10/30
Adaptive Control  Neural Networks  Nonlinear Multi-input-multi-output Discrete-time Systems  Output Feedback Control