Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation

被引：55
作者：
Chen, Bing [1 ]
Liu, Xiaoping [2 ]
Liu, Kefu [2 ]
Lin, Chong [1 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Shandong, Peoples R China
[2] Lakehead Univ, Fac Engn, Thunder Bay, ON P7B 5E1, Canada
来源：
INFORMATION SCIENCES | 2013年 / 222卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Adaptive fuzzy control; Nonlinear MIMO system; Time delay; Backstepping design; NEURAL-NETWORK CONTROL; SMALL-GAIN APPROACH; TRACKING CONTROL; BACKSTEPPING CONTROL;
D O I：
10.1016/j.ins.2012.07.058
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper focuses on the problem of adaptive control for a class of nonlinear multi-input and multi-output (MIMO) systems with time delays. A state feedback adaptive controller is constructed by backstepping technique. Fuzzy logic systems are used to approximate unknown nonlinear functions in the process of the controller design. The main advantages of the proposed approach are twofold: (1) the controller design is independent of the knowledge of the basis functions of fuzzy logic systems, and (2) the suggested approach requires only m adaptive laws to control a nonlinear time-delay system with m inputs. Simulation results illustrate the effectiveness of the proposed approach. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码：576 / 592
页数：17
相关论文
共 50 条
[1]   Discrete-time adaptive backstepping nonlinear control via high-order neural networks [J].
Alanis, Alma Y. ;
Sanchez, Edgar N. ;
Loukianov, Alexander G. .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (04) :1185-1195
[2]  
[Anonymous], 1999, Neural network control of robot manipulators and nonlinear systems
[3]  
[Anonymous], 1992, MATH ITS APPL SOVIET
[4]  
[Anonymous], 1995, NONLINEAR ADAPTIVE C
[5]   Direct adaptive fuzzy control for nonlinear systems with time-varying delays [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Shi, Peng ;
Lin, Chong .
INFORMATION SCIENCES, 2010, 180 (05) :776-792
[6]   Direct adaptive fuzzy control of nonlinear strict-feedback systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
AUTOMATICA, 2009, 45 (06) :1530-1535
[7]   Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems [J].
Chen, Chaio-Shiung .
INFORMATION SCIENCES, 2009, 179 (15) :2676-2688
[8]   Decentralized output-feedback neural control for systems with unknown interconnections [J].
Chen, Weisheng ;
Li, Junmin .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (01) :258-266
[9]   Adaptive neural network control for a class of low-triangular-structured nonlinear systems [J].
Du, HB ;
Shao, HH ;
Yao, PJ .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (02) :509-514
[10]   Approximation-based control of nonlinear MIMO time-delay systems [J].
Ge, S. S. ;
Tee, K. P. .
AUTOMATICA, 2007, 43 (01) :31-43
12345