Adaptive Fuzzy Decentralized Control for a Class of Strong Interconnected Nonlinear Systems With Unmodeled Dynamics

被引：156

作者：

Wang, Huanqing ^{[1
,2
,3
]}

Liu, Wenxin ^{[1
]}

Qiu, Jianbin ^{[4
]}

Liu, Peter Xiaoping ^{[3
]}

机构：

[1] Bohai Univ, Dept Math, Jinzhou 121000, Peoples R China

[2] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China

[3] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada

[4] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Heilongjiang, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2018年 / 26卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Adaptive fuzzy control; backstepping; nonlinear systems; unmodeled dynamics; OUTPUT-FEEDBACK CONTROL; SMALL-GAIN APPROACH; TRACKING CONTROL; UNKNOWN INTERCONNECTIONS; NEURAL-NETWORKS; SURFACE CONTROL; STABILIZATION; DESIGN; INPUT; UNCERTAINTIES;

D O I：

10.1109/TFUZZ.2017.2694799

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The state-feedback decentralized stabilization problem is considered for interconnected nonlinear systems in the presence of unmodeled dynamics. The functional relationship in affine form between the strong interconnected functions and error signals is established, which makes backstepping-based fuzzy control successfully generalized to strong interconnected nonlinear systems. By combining adaptive control with both backstepping design and the approximation property of fuzzy systems, an adaptive decentralized control algorithm is developed. It is demonstrated by both theoretical analysis and simulation study that the proposed control strategy ensures semiglobally uniformly ultimately bounded of all signals within the closed-loop systems.

引用

页码：836 / 846

页数：11

共 48 条

[1]

[Anonymous], 1995, NONLINEAR ADAPTIVE C

[2] Adaptive fuzzy control-based projective synchronization of uncertain nonaffine chaotic systems [J].

Boulkroune, Abdesselem ;

Bouzeriba, Amel ;

Hamel, Sara ;

Bouden, Toufik .

COMPLEXITY, 2015, 21 (02) :180-192

[3] State and output feedback fuzzy variable structure controllers for multivariable nonlinear systems subject to input nonlinearities [J].

Boulkroune, Abdesselem ;

Msaad, Mohammed ;

Farza, Mondher .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 71 (1-4) :539-556

[4] Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems [J].

Chen, Bing ;

Lin, Chong ;

Liu, Xiaoping ;

Liu, Kefu .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (01) :27-36

[5] Direct adaptive fuzzy control of nonlinear strict-feedback systems [J].

Chen, Bing ;

Liu, Xiaoping ;

Liu, Kefu ;

Lin, Chong .

AUTOMATICA, 2009, 45 (06) :1530-1535

[6] Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System [J].

Chen, Mou ;

Shi, Peng ;

Lim, Cheng-Chew .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (02) :260-270

[7] Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer [J].

Chen, Mou ;

Ge, Shuzhi Sam .

IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (04) :1213-1225

[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] Stochastic nonlinear stabilization .1. A backstepping design [J].

Deng, H ;

Krstic, M .

SYSTEMS & CONTROL LETTERS, 1997, 32 (03) :143-150

[10] DECENTRALIZED ADAPTIVE-CONTROL - STRUCTURAL CONDITIONS FOR STABILITY [J].

GAVEL, DT ;

SILJAK, DD .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1989, 34 (04) :413-426

← 1 2 3 4 5 →