Adaptive Fuzzy Finite-time Control for Uncertain Nonlinear Systems with Dead-zone Input

被引：34

作者：

Lv, W. S. ^{[1
,2
]}

Wang, Fang ^{[1
]}

Zhang, Lili ^{[3
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China

[3] Guangdong Univ Technol, Sch Appl Math, Guangzhou, Guangdong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2018年 / 16卷 / 05期

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 tracking control; backstepping; dead-zone input; finite-time stability; fuzzy logic systems; OUTPUT-FEEDBACK CONTROL; DYNAMIC SURFACE CONTROL; TRACKING CONTROL; STABILIZATION; DESIGN;

D O I：

10.1007/s12555-018-0118-6

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 presents a novel adaptive finite-time tracking control scheme for nonlinear systems. During the design process of control scheme, dead-zone input nonlinearity phenomena existing in the actuator is taken into account. Fuzzy logic systems are adopted to approximate the unknown nonlinear functions. This paper provides a new finite-time stability criterion, making the adaptive tracking control scheme more suitable in the practice than traditional methods. Under the presented controller, the desired system performance is realized in finite time. Finally, the validity and effectiveness of the proposed control method is validated by two examples.

引用

页码：2549 / 2558

页数：10

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