Decentralized fuzzy controller for nonlinear interconnected systems with missing measurements

  • Authors:
  • Geun Bum Koo;Jin Bae Park;Young Hoon Joo;Se Jin Kim

  • Affiliations:
  • Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea;Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea;School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk;School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk

  • Venue:
  • FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
  • Year:
  • 2009

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Abstract

This paper discusses the decentralized fuzzy control technique for the stochastic stability of nonlinear interconnected systems with missing measurements. We develop the fuzzy subsystem of the interconnected system by using the Takagi-Sugetno (T-S) fuzzy model and design the decentralized fuzzy controller for stochastic stability. To guarantee the sufficient condition of stability, we use Lyapunov stability theorem. Its constructive condition is expressed as the linear matrix inequality (LMI). An example is given to show the verification discussed throughout the paper.