Adaptive Fuzzy Tracking Control for a Class of Singular Systems via Output Feedback Scheme

被引：17

作者：

Chen, Jian ^{[1
]}

Yu, Jinpeng ^{[2
]}

Lam, Hak-Keung ^{[3
]}

机构：

[1] Qingdao Univ Technol, Coll Automat Engn, Qingdao 266555, Peoples R China

[2] Qingdao Univ, Sch Automat Engn, Qingdao 266071, Peoples R China

[3] Kings Coll London, Dept Engn, London WC2R 2LS, England

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2022年 / 30卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Observers; Adaptive systems; Nonlinear systems; Symmetric matrices; Fuzzy logic; Output feedback; Linear matrix inequalities; Adaptive fuzzy control; nonlinear system; output feedback; singular system; MIMO NONLINEAR-SYSTEMS; SLIDING MODE CONTROL; H-INFINITY CONTROL; OBSERVER DESIGN; TIME;

D O I：

10.1109/TFUZZ.2020.3042615

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of adaptive fuzzy observer-based tracking control for nonlinear singular systems is considered in this article. The nonlinear singular systems are composed of two kinds of subsystems, differential subsystem and algebraic subsystem, which are coupled to each other. The systems can be nonstrict feedback structures. Through designing a new state observer and a linear controller, an error system with a tunable parameter is obtained. By constructing new one-sided Lipschitz conditions, the regularization and impulse-free conditions are proposed for the error system. With the help of the tunable parameter in the observer, we design an output feedback controller for the nonlinear singular systems to ensure that all states of the closed-loop system are bounded and the tracking observer errors remain in a neighborhood of the origin. Two examples are provided to illustrate the effectiveness of the presented method.

引用

页码：610 / 622

页数：13

共 36 条

[1] Adaptive Control for Nonlinear Singular Systems [J].

Azarfar, Azita ;

Shandiz, Heydar Toossian ;

Shafiee, Masoud .

INFORMATION TECHNOLOGY AND CONTROL, 2014, 43 (02) :188-198

[2] Robust static output feedback H∞ control design for linear systems with polytopic uncertainties [J].

Chang, Xiao-Heng ;

Park, Ju H. ;

Zhou, Jianping .

SYSTEMS & CONTROL LETTERS, 2015, 85 :23-32

[3] Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form [J].

Chen, Bing ;

Zhang, Huaguang ;

Lin, Chong .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (01) :89-98

[4] Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form [J].

Chen, Bing ;

Lin, Chong ;

Liu, Xiaoping ;

Liu, Kefu .

IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (12) :2744-2755

[5] Observer-based adaptive neural control for a class of nonlinear singular systems [J].

Chen, Jian ;

Lin, Chong ;

Chen, Bing ;

Zhang, Ziye .

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (10) :4043-4058

[6] Regularization and Stabilization for Rectangular T-S Fuzzy Discrete-Time Systems With Time Delay [J].

Chen, Jian ;

Lin, Chong ;

Chen, Bing ;

Wang, Qing-Guo .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (04) :833-842

[7] Fuzzy-model-based admissibility analysis and output feedback control for nonlinear discrete-time systems with time-varying delay [J].

Chen, Jian ;

Lin, Chong ;

Chen, Bing ;

Wang, Qing-Guo .

INFORMATION SCIENCES, 2017, 412 :116-131

[8] Robust Stabilization of the Generalized Triangular Form Nonlinear Systems With Disturbances [J].

Dashkovskiy, Sergey N. ;

Pavlichkov, Svyatoslav S. .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (06) :1577-1582

[9]

Fang QX, 2010, I C CONT AUTOMAT ROB, P1680, DOI 10.1109/ICARCV.2010.5707228

[10] Adaptive Fuzzy Observer Design for a Class of Switched Nonlinear Systems With Actuator and Sensor Faults [J].

Fu, Shasha ;

Qiu, Jianbin ;

Chen, Liheng ;

Mou, Shaoshuai .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (06) :3730-3742

← 1 2 3 4 →