Decentralized adaptive fuzzy control of large-scale nonaffine nonlinear systems by state and output feedback

被引：12

作者：

Huang, Yi-Shao ^{[1
,2
]}

Wu, Min ^{[2
]}

He, Yong ^{[2
]}

Yu, Ling-Li ^{[2
]}

Zhu, Qi-Xin ^{[3
]}

机构：

[1] Changsha Univ Sci & Technol, Minist Educ, Key Lab Highway Engn, Changsha 410004, Hunan, Peoples R China

[2] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China

[3] E China Jiaotong Univ, Sch Elect & Elect Engn, Nanchang 330013, Peoples R China

来源：

NONLINEAR DYNAMICS | 2012年 / 69卷 / 04期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Large-scale nonlinear systems; Adaptive fuzzy control; High-gain observer (HGO); Singular; TRACKING CONTROL; NEURAL-CONTROL; SISO SYSTEMS; OBSERVER; INTERCONNECTIONS; STABILIZATION; NETWORKS; DESIGN; VSS;

D O I：

10.1007/s11071-012-0377-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper develops two novel decentralized adaptive fuzzy control methods of large-scale nonaffine uncertain nonlinear systems. By using a fuzzy inference system and implicit function theorem, a decentralized direct adaptive state feedback fuzzy control algorithm is firstly presented for a class of large-scale nonaffine continuous-time systems. By using a high-gain observer to reconstruct the system states, an extension is made to a decentralized output feedback control of unmeasurable interactive nonaffine systems. The decentralized adaptive fuzzy control schemes via state and output feedback guarantee the stability of the closed-loop large-scale systems. The effectiveness of the developed approaches is demonstrated through simulation results of a platoon of vehicles within an automated highway system.

引用

页码：1665 / 1677

页数：13

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