Optimal robust decentralized control design for fuzzy complex systems

被引：7
|
作者：
Xiong, Dan [1 ,3 ]
Chen, Y. H. [2 ]
Zhao, Han [1 ]
机构：
[1] Hefei Univ Technol, Sch Mech & Automot Engn, Hefei, Anhui, Peoples R China
[2] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
[3] Jiangsu Sujing Purificat Grp Co Ltd, Suzhou 215122, Jiangsu, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 26卷 / 01期
关键词：
Large-scale system; decentralized control; fuzzy set theory; optimal design;
D O I：
10.3233/IFS-120728
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We consider a decentralized control design for a class of fuzzy complex systems. This system contains uncertainty, consists of multiple subsystems, and faces information structure constraints. The uncertainty is represented by an uncertain bound, which is described by a fuzzy membership function. The control scheme is decentralized. In addition, it is robust and optimal: while it guarantees certain performance regardless of the uncertainty, it also minimizes a performance index. With regard to the minimization phase of the design, the solution is shown to be existent and unique.
引用
收藏
页码：211 / 222
页数：12
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