Adaptive finite-time tracking control of switched nonlinear systems

被引：76
|
作者：
Wang, Fang [1 ,3 ]
Zhang, Xueyi [2 ]
Chen, Bing [3 ]
Lin, Chong [3 ]
Li, Xuehua [4 ]
Zhang, Jing [5 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Foreign Languages, Qingdao 266590, Peoples R China
[3] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
[4] Shandong Univ Sci & Technol, Engn Training Ctr, Qingdao 266590, Peoples R China
[5] Guangdong Univ Foreign Studies, Comp Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
来源：
INFORMATION SCIENCES | 2017年 / 421卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Adaptive neural control; Finite-time tracking; Switched nonlinear systems; SLIDING MODE OBSERVERS; NEURAL-CONTROL; FUZZY CONTROL; STABILIZATION; DESIGN; DYNAMICS; DELAY;
D O I：
10.1016/j.ins.2017.08.095
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The finite-time tracking issue of switched nonlinear systems is taken into consideration in this paper. By combining the common Lyapunov function approach and the structural characteristic of neural networks, a simplified adaptive controller is constructed. Under arbitrary switching, the constructed common controller ensures that the system output is located in a small neighborhood of the reference signal in finite time. Different from the existing literature on the finite-time stabilizing issue, the linear growth conditions for the nonlinear functions of the controlled systems can be removed; besides, the tracking problem is considered, which covers the finite-time stabilization issue as a special case. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码：126 / 135
页数：10
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