Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties

被引：130

作者：

Tong, Shaocheng ^{[1
]}

Li, Yongming ^{[1
]}

Shi, Peng ^{[2
]}

机构：

[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Liaoning, Peoples R China

[2] Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales

来源：

INFORMATION SCIENCES | 2009年 / 179卷 / 09期

关键词：

Nonlinear systems; Fuzzy adaptive control; Robust control; Backstepping technique; OUTPUT-FEEDBACK CONTROL; SMALL-GAIN APPROACH; TRACKING CONTROL; DESIGN; STABILITY; DISCRETE;

D O I：

10.1016/j.ins.2009.01.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a fuzzy adaptive backstepping design procedure is proposed for a class of nonlinear systems with three types of uncertainties: (i) nonlinear uncertainties; (ii) unmodeled dynamics and (iii) dynamic disturbances. The fuzzy logic systems are used to approximate the nonlinear uncertainties, nonlinear damping terms are used to counteract the dynamic disturbances and fuzzy approximation errors, and a dynamic signal is introduced to dominate the unmodeled dynamics. The derived fuzzy adaptive control approach guarantees the global boundedness property for all the signals and states, and at the same time, steers the output to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness of the proposed approach. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：1319 / 1332

页数：14

共 33 条

[1] Fuzzy direct adaptive control for a class of nonlinear systems [J].

Chai, TY ;

Tong, SC .

FUZZY SETS AND SYSTEMS, 1999, 103 (03) :379-387

[2] Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping and application to chemical processes [J].

Chen, B ;

Liu, XP .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2005, 13 (06) :832-847

[3] Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach [J].

Chen, Bing ;

Tong, Shaocheng ;

Liu, Xiaoping .

FUZZY SETS AND SYSTEMS, 2007, 158 (10) :1097-1125

[4] Adaptive fuzzy output tracking control of MIMO nonlinear uncertain systems [J].

Chen, Bing ;

Liu, Xiaoping ;

Tong, Shaocheng .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (02) :287-300

[5]

Chen BS, 1996, IEEE T FUZZY SYST, V4, P32, DOI 10.1109/91.481843

[6] Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems [J].

Ge, SS ;

Wang, J .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (06) :1409-1419

[7] Fuzzy neural-based control for nonlinear time-varying delay systems [J].

Hwang, Chih-Lyang ;

Chang, Li-Jui .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (06) :1471-1485

[8]

Hwang JP, 2006, IEEE T FUZZY SYST, V14, P232, DOI [10.1109/TFUZZ.2005.864082, 10.1109/TFUZZ2005864082]

[9] Robust backstepping control of a class of nonlinear systems using fuzzy logic [J].

Jagannathan, S ;

Lewis, FL .

INFORMATION SCIENCES, 2000, 123 (3-4) :223-240

[10] A combined backstepping and small-gain approach to adaptive output feedback control [J].

Jiang, ZP .

AUTOMATICA, 1999, 35 (06) :1131-1139

← 1 2 3 4 →