Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems
作者： Yan-Jun Liu , Li Tang , Shaocheng Tong , C. L. Philip Chen
DOI: 10.1109/TNNLS.2014.2330336
关键词: Lyapunov function 、 MIMO 、 Backstepping 、 Nonlinear system 、 Adaptive control 、 Artificial neural network 、 Discrete time and continuous time 、 Mathematics 、 Control theory 、 Bounded function
摘要: An adaptive neural network tracking control is studied for a class of multiple-input multiple-output (MIMO) nonlinear systems. The systems are in discrete-time form and the discretized dead-zone inputs considered. In addition, MIMO composed $N$ subsystems, each subsystem contains unknown functions external disturbance. Due to complicated framework systems, existence dead zone noncausal problem discrete-time, it brings about difficulties controlling such To overcome problem, by defining coordinate transformations, transformed into special form, which suitable backstepping design. radial basis NNs utilized approximate adaptation laws controllers designed based on By using Lyapunov method, proved that closed-loop system stable sense semiglobally uniformly ultimately bounded all signals errors converge compact set. simulation examples comparisons with previous approaches provided illustrate effectiveness proposed algorithm.
sci-hub.se 参考文章(58)
Gang Tao, Peter V. Kokotovic, Adaptive Control of Plants with Unknown Dead-zones american control conference. pp. 2710- 2714 ,(1992) , 10.23919/ACC.1992.4792635
Li-Xin Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis ,(1994)
CL Philip Chen, Guo-Xing Wen, Yan-Jun Liu, Fei-Yue Wang, None, Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks IEEE Transactions on Neural Networks. ,vol. 25, pp. 1217- 1226 ,(2014) , 10.1109/TNNLS.2014.2302477
Zhijun Li, Liang Ding, Haibo Gao, Guangren Duan, Chun-Yi Su, Trilateral Teleoperation of Adaptive Fuzzy Force/Motion Control for Nonlinear Teleoperators With Communication Random Delays IEEE Transactions on Fuzzy Systems. ,vol. 21, pp. 610- 624 ,(2013) , 10.1109/TFUZZ.2012.2224116
DongJuan Li, Adaptive neural network control for a class of continuous stirred tank reactor systems Science China Information Sciences. ,vol. 57, pp. 1- 8 ,(2014) , 10.1007/S11432-013-4824-7
Derong Liu, Qinglai Wei, Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 43, pp. 779- 789 ,(2013) , 10.1109/TSMCB.2012.2216523
Zhijun Li, Xiaoqing Cao, Nan Ding, Adaptive Fuzzy Control for Synchronization of Nonlinear Teleoperators With Stochastic Time-Varying Communication Delays IEEE Transactions on Fuzzy Systems. ,vol. 19, pp. 745- 757 ,(2011) , 10.1109/TFUZZ.2011.2143417
Weisheng Chen, Shaoyong Hua, Huaguang Zhang, Consensus-Based Distributed Cooperative Learning From Closed-Loop Neural Control Systems IEEE Transactions on Neural Networks. ,vol. 26, pp. 331- 345 ,(2015) , 10.1109/TNNLS.2014.2315535
S. Jagannathan, M.W. Vandegrift, F.L. Lewis, Adaptive fuzzy logic control of discrete-time dynamical systems Automatica. ,vol. 36, pp. 229- 241 ,(2000) , 10.1016/S0005-1098(99)00143-0
Salim Ibrir, Wen Fang Xie, Chun-Yi Su, Brief paper: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input Automatica. ,vol. 43, pp. 522- 530 ,(2007) , 10.1016/J.AUTOMATICA.2006.09.022