Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

H. Yousef, M. Hamdy*, E. El-Madbouly, D. Eteim

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)


This paper describes an adaptive fuzzy control strategy for decentralized control for a class of interconnected nonlinear systems with MIMO subsystems. An adaptive robust tracking control schemes based on fuzzy basis function approach is developed such that all the states and signals are bounded. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant adaptive fuzzy decentralized control with multi-controller architecture guarantees stability and convergence of the output errors to zero asymptotically by local output-feedback. An extensive application example of a three-machine power system is discussed in detail to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)456-462
Number of pages7
Issue number2
Publication statusPublished - Feb 2009
Externally publishedYes


  • Adaptive fuzzy control
  • Interconnected nonlinear MIMO subsystems
  • Multi-machine power system
  • Stability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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