Fuzzy State Observer Based Command-filtered Adaptive Control of Uncertain Nonlinear Systems

被引：0
|
作者：
Wang, Suzhen [1 ]
Sun, Guofa [1 ]
Wei, Wei [1 ]
机构：
[1] Qingdao Univ Technol, Sch Automat Engn, Qingdao 266520, Shandong, Peoples R China
来源：
2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Output feedback; fuzzy system; observer design; dynamic surface control; nonlinear systems; SLIDING MODE CONTROL; TRACKING;
D O I：
暂无
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 devoted to the precise tracking control problem of uncertain nonlinear systems in strict feedback form with unmeasured states. Adaptive fuzzy observer is designed to reconstruct system states with nonlinear feedback term. The weight update laws of fuzzy systems are developed by observer error. Meanwhile, the output feedback control signal is designed based on the obtained fuzzy observer and nonlinear differentiator. The stability of the whole closed-loop system is shown to be ultimately uniformly bounded(UUB) by Lyapunov method. Finally, results performing on numerical example validate the effectiveness of the proposed control scheme.
引用
收藏
页码：717 / 722
页数：6
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