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
收藏
页码：1665 / 1677
页数：13
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