Decentralized adaptive fuzzy tracking control for a class of uncertain large-scale systems with actuator nonlinearities

被引：21
|
作者：
Wu, Li-Bing [1 ]
Wang, Heng [2 ]
He, Xi-Qin [1 ]
Zhang, Da-Qing [1 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Sci, Anshan 114051, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2018年 / 332卷
关键词：
Decentralized adaptive control; Hysteresis nonlinearity; Disturbance rejection filter; Back-stepping method; DYNAMIC SURFACE CONTROL; DELAY SYSTEMS; STABILIZATION; BACKLASH; DESIGN;
D O I：
10.1016/j.amc.2018.03.080
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper studies the problem of decentralized adaptive tracking control for a class of nonlinear large-scale systems with unmeasurable states and actuator nonlinearities. For each subsystem, a novel decentralized disturbance rejection filter is designed to estimate both system states and external disturbances. The decentralized controller with adaptive laws is designed based on back-stepping techniques. It is proved that all the signals of the resulting closed-loop system are bounded, and the output tracking errors of subsystems converge to a desired neighborhood of origin. Simulation results illustrate the effectiveness of the method proposed in this paper. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码：390 / 405
页数：16
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