Affiliations: School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, Anhui, P.R. China | The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA | Jiangsu Sujing Purification Group Co., Ltd., Suzhou, Jiangsu 215122, P.R. China
Note: [] Corresponding author. Y.H. Chen, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. E-mails: yehwa.chen@me.gatech.edu (Y.H. Chen); xiongdan31@gmail.com (Dan Xiong).
Abstract: 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.
Keywords: Large-scale system, decentralized control, fuzzy set theory, optimal design
