Decentralized control design for fuzzy large-scale systems: high-order uncertainty bound

被引：0

作者：

Xiong, Dan ^{[1
,2
]}

Chen, Y. H. ^{[2
]}

Zhao, Han ^{[1
]}

Huang, Jin ^{[3
]}

机构：

[1] Hefei Univ Technol, Sch Mech & Automot Engn, Hefei 230009, Anhui, Peoples R China

[2] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA

[3] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

uncertainty bound; fuzzy set theory; decentralized control; optimal design; ROBUSTNESS;

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：

A class of lager-scale uncertain interconnected systems is introduced. The uncertainty is bounded and the bound is in high-order form that may be due to the unknown parameters and input disturbance. The available information of the uncertainty is prescribed by fuzzy characteristics. A new decentralized control design is adopted for the system. The optimal design problem is solved by obtaining the minimization of a performance index with the decentralized control method which reflects the system's average fuzzy characteristics. The solution to this optimization system performance index is proved to be always exists and is unique. Furthermore, the closed-form expression of the solution is obtained. Finally, the special case that without the consideration of transient effect in limiting performance is shown for engineering significance.

引用

页码：3432 / 3437

页数：6

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