Optimal robust decentralized control design for fuzzy complex systems

  • Authors:

  • Dan Xiong;Y. H. Chen;Han Zhao

  • Affiliations:

  • School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, Anhui, P.R. China and Jiangsu Sujing Purification Group Co., Ltd., Suzhou, Jiangsu 215122, P.R. China;The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA;School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, Anhui, P.R. China

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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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.