Adaptive control for switched uncertain nonlinear systems with time-varying output constraint and input saturation

被引：19

作者：

Chen, Aiqing ^{[1
]}

Tang, Li ^{[1
]}

Liu, Yan-Jun ^{[1
]}

Gao, Ying ^{[2
]}

机构：

[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China

[2] Tangshan Normal Univ, Dept Math & Informat Sci, Tangshan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2019年 / 33卷 / 09期

基金：

中国国家自然科学基金;

关键词：

input asymmetric saturation; switched uncertain nonlinear systems; Tangent Barrier Lyapunov Function; time-varying output constraint; BARRIER LYAPUNOV FUNCTIONS; NEURAL TRACKING CONTROL; PREDICTIVE CONTROL; DELAY SYSTEMS; FUZZY CONTROL; NN CONTROL; DESIGN; FORM;

D O I：

10.1002/acs.3036

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with adaptive tracking control for switched uncertain nonlinear systems, which contain the time-varying output constraint (TVOC) and input asymmetric saturation characteristic. In response to the unknown functions, the fuzzy logic systems are adopted. The controller is constructed by the backstepping technique. Based on the Tangent Barrier Lyapunov Function (BLF-Tan), an adaptive switched control scheme is designed. It is demonstrated that all signals in the resulted system are semiglobally uniformly ultimately bounded with TVOC under arbitrary switchings. Furthermore, the effectiveness of presented control method is validated via the simulation example.

引用

页码：1344 / 1358

页数：15

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