Adaptive fuzzy decentralized control for a class of pure-feedback large-scale nonlinear systems

被引：34

作者：

Wang, Huanqing ^{[1
]}

Liu, Xiaoping ^{[2
,3
]}

Chen, Bing ^{[4
]}

Zhou, Qi ^{[5
]}

机构：

[1] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Liaoning, Peoples R China

[2] Lakehead Univ, Fac Engn, Thunder Bay, ON P7B 5E1, Canada

[3] Liaoning Univ Sci & Technol, Fac Elect & Informat Engn, Anshan 114051, Liaoning, Peoples R China

[4] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Shandong, Peoples R China

[5] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121000, Liaoning, Peoples R China

来源：

NONLINEAR DYNAMICS | 2014年 / 75卷 / 03期

关键词：

Pure-feedback large-scale systems; Fuzzy control; Adaptive decentralized control; Backstepping; DYNAMIC SURFACE CONTROL; NEURAL-NETWORK CONTROL; TRACKING CONTROL; CHAOTIC SYSTEMS; TIME DELAYS; APPROXIMATION; STABILIZATION; FORM;

D O I：

10.1007/s11071-013-1077-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper, the problem of adaptive fuzzy decentralized control is investigated for a class of pure-feedback nonlinear interconnected large-scale systems. During the controller design, fuzzy logical systems are used to model packaged unknown nonlinearities and backstepping technique is used to construct adaptive fuzzy decentralized controller. It is shown that the proposed control scheme can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded. The main advantage of this study lies in that only one adaptive parameter needs to be estimated online for each subsystem. Simulation results further illustrate the effectiveness of the suggested approach.

引用

页码：449 / 460

页数：12

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