Optimal Robust Decentralized Control Design for Fuzzy Complex Systems

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：
complex system; uncertainty; fuzzy set theory; optimization; UNCERTAIN SYSTEMS;
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 new decentralized control is designed for a class of fuzzy complex systems. This system is in the form with dimensionality, uncertainty and information structure constraints. The uncertainty, which is bounded, may be due to the unknown parameters and input disturbance. The control scheme is high-order, while the control design is formulated as a constrained optimization problem, which reflects the system's average fuzzy characteristics. We show that the solution to this optimization problem exists and is unique regardless uncertainties and disturbance. An illustrative example is employed for further verification of this control method.
引用
收藏
页码：1083 / 1088
页数：6
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