Observer-Based Adaptive Fuzzy Control for Switched Stochastic Nonlinear Systems With Partial Tracking Errors Constrained

被引:93
作者
Sui, Shuai [1 ]
Li, Yongming [1 ]
Tong, Shaocheng [1 ]
机构
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2016年 / 46卷 / 12期
基金
中国国家自然科学基金;
关键词
Fuzzy adaptive backstepping control; partial tracking errors constrained; switched state observer; switched stochastic nonlinear systems; OUTPUT-FEEDBACK CONTROL; DYNAMIC SURFACE CONTROL; FAULT-TOLERANT CONTROL; LARGE-SCALE SYSTEMS; PRESCRIBED PERFORMANCE; NEURAL-NETWORK; DESIGN; STABILIZATION; STABILITY; TIME;
D O I
10.1109/TSMC.2016.2523904
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 discusses the adaptive fuzzy partial tracking errors constrained control problem for a class of uncertain stochastic nonlinear systems. The concerned systems contain the unknown nonlinear functions, unmeasured state variables, and the switching signal with average dwell time. The fuzzy logic systems are first used to approximate the unknown nonlinear functions, and a switched fuzzy state observer is developed for estimating the unmeasured states. By introducing the performance function and error transformation into the backstepping dynamic surface control design, a new observer-based adaptive fuzzy control design approach is developed. By employing the multiple Lyapunov function and the average dwell time methods, it is proved that all the signals of the resulting closed-loop system are bounded, and the partial tracking errors are confined all times within the prescribed bounds. A simulation example is provided to show the effectiveness of the proposed approach.
引用
收藏
页码:1605 / 1617
页数:13
相关论文
共 34 条
[1]   Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance [J].
Bechlioulis, Charalampos P. ;
Rovithakis, George A. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (09) :2090-2099
[2]   Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems [J].
Bechlioulis, Charalampos P. ;
Rovithakis, George A. .
AUTOMATICA, 2009, 45 (02) :532-538
[3]   Output-feedback adaptive dynamic surface control of stochastic non-linear systems using neural network [J].
Chen, W. S. ;
Jiao, L. C. ;
Du, Z. B. .
IET CONTROL THEORY AND APPLICATIONS, 2010, 4 (12) :3012-3021
[4]   Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays [J].
Chen, Weisheng ;
Jiao, Licheng ;
Li, Jing ;
Li, Ruihong .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (03) :939-950
[5]   Partial Tracking Error Constrained Fuzzy Dynamic Surface Control for a Strict Feedback Nonlinear Dynamic System [J].
Han, Seong I. ;
Lee, Jang M. .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (05) :1049-1061
[6]   Adaptive Fuzzy Backstepping Dynamic Surface Control for Output-constrained Non-smooth Nonlinear Dynamic System [J].
Han, Seong-Ik ;
Lee, Jang-Myung .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2012, 10 (04) :684-696
[7]   Adaptive neural control for a class of switched nonlinear systems [J].
Han, Thanh-Trung ;
Ge, Shuzhi Sam ;
Lee, Tong Heng .
SYSTEMS & CONTROL LETTERS, 2009, 58 (02) :109-118
[8]   Backstepping Control for Nonlinear Systems With Time Delays and Applications to Chemical Reactor Systems [J].
Hua, Changchun ;
Liu, Peter X. ;
Guan, Xinping .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (09) :3723-3732
[9]   Adaptive output-feedback tracking of stochastic nonlinear systems [J].
Ji, HB ;
Xi, HS .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (02) :355-360
[10]   Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems [J].
Liu, Zhi ;
Wang, Fang ;
Zhang, Yun ;
Chen, C. L. Philip .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (02) :524-534