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

被引：0
|
作者：
Huanqing Wang
Xiaoping Liu
Bing Chen
Qi Zhou
机构：
[1] Bohai University,School of Mathematics and Physics
[2] Lakehead University,Faculty of Engineering
[3] Liaoning University of Science and Technology,Faculty of Electronic and Information Engineering
[4] Qingdao University,Institute of Complexity Science
[5] Bohai University,College of Information Science and Technology
来源：
Nonlinear Dynamics | 2014年 / 75卷
关键词：
Pure-feedback large-scale systems; Fuzzy control; Adaptive decentralized control; Backstepping;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：449 / 460
页数：11
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