H∞ tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systems

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成果类型：

期刊论文

作者：

Huang, Yi-Shao*;Xiao, Dong-Sheng;Chen, Xiao-Xin;Zhu, Qi-Xin;Wang, Zheng-Wu

通讯作者：

Huang, Yi-Shao

作者机构：

[Huang, Yi-Shao] Changsha Univ Sci & Technol, Key Lab Highway Engn, Minist Educ, Changsha 410114, Hunan, Peoples R China.

[Wang, Zheng-Wu; Huang, Yi-Shao] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China.

[Xiao, Dong-Sheng] Univ S China, Coll Econ & Management, Hengyang 421001, Peoples R China.

[Chen, Xiao-Xin] Jiangxi Univ Finance & Econ, Sch Informat Technol, Nanchang 330013, Peoples R China.

[Zhu, Qi-Xin] E China Jiaotong Univ, Sch Elect & Elect Engn, Nanchang 330013, Peoples R China.

通讯机构：

[Huang, Yi-Shao] C

Changsha Univ Sci & Technol, Key Lab Highway Engn, Minist Educ, Changsha 410114, Hunan, Peoples R China.

语种：

英文

关键词：

Large-scale nonlinear system;Combined adaptive fuzzy control (CAFC);Observer;Decentralized control;Fuzzy inference systems;H-infinity tracking performance

期刊：

Fuzzy Sets and Systems

ISSN：

0165-0114

年：

2011

卷：

171

期：

页码：

72-92

DOI：

10.1016/j.fss.2010.05.003

基金类别：

Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education of ChinaMinistry of Education, China [kfj100101]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [60964004, 50808025]; Natural Science Foundation of Hunan Province of ChinaNatural Science Foundation of Hunan Province [07JJ6171, 09JJ9012]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [20100471231]; Fok Ying Tung Education Foundation of ChinaFok Ying Tung Education Foundation [122013]; Hunan Provincial Education DepartmentHunan Provincial Education Department [08A003]

机构署名：

本校为其他机构

院系归属：

管理学院

摘要：

This paper proposes a novel H∞ tracking-based decentralized hybrid adaptive fuzzy controller via output feedback for a class of large-scale uncertain nonlinear systems. To achieve better adaptation properties, the proposed controller is a weighted combination of indirect and direct adaptive fuzzy controls (IAFC and DAFC) such that both fuzzy descriptions and control rules can be incorporated at the same time. After proper filtering of the observation error dynamics, the developed observer-based feedback and adaptation mechanisms become impleme...

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H∞ tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systems

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