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Asymptotic adaptive control of nonlinear systems with elimination of overparametrization in a Nussbaum-like design Journal article
AUTOMATICA, 2018,Volume: 98,Page: 277-284
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:6/0  |  Submit date:2019/01/17
Tuning function  Asymptotic control  Adaptive fuzzy control  Neural network  Computational reduction  
Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains Journal article
INFORMATION SCIENCES, 2017,Volume: 418,Page: 513-530
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:8/0  |  Submit date:2018/10/30
High-frequency gains  Unknown control direction  MIMO stochastic system  Adaptive neural control  
Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017,Volume: 25,Issue: 5,Page: 1252-1263
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Liu, Yanjun;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:9/0  |  Submit date:2018/10/30
Adaptive fuzzy control  asymptotic control  multiple input multiple output (MIMO) nonlinear system  unknown control direction  
Adaptive asymptotic control of multivariable systems based on a one-parameter estimation approach Journal article
AUTOMATICA, 2017,Volume: 83,Page: 124-132
Authors:  Chen, Ci;  Wen, Changyun;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:6/0  |  Submit date:2018/10/30
Asymptotic control  Multivariable systems  One-parameter estimation  
Adaptive Consensus of Nonlinear Multi-Agent Systems With Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors Journal article
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017,Volume: 62,Issue: 9,Page: 4654-4659
Authors:  Chen, Ci;  Wen, Changyun;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Adaptive consensus  multi-agent system  non-identical control directions  partially unknown  
Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 9,Page: 2448-2459
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
Favorite  |  View/Download:6/0  |  Submit date:2018/10/30
Adaptive control  asymptotic control  purefeedback stochastic systems  semi-Nussbaum function