Decentralized adaptive fuzzy control for a class of nonlinear systems

  • Authors:
  • A. Errahmani;H. Ouakka;M. Benyakhlef;I. Boumhidi

  • Affiliations:
  • Département de physique, Université Sidi Mohamed Ben Abdelah, Faculté des Sciences Dhar Elmahraz, Fez Atlas, Morocco;Département de physique, Université Sidi Mohamed Ben Abdelah, Faculté des Sciences Dhar Elmahraz, Fez Atlas, Morocco;Département de physique, Université Sidi Mohamed Ben Abdelah, Faculté des Sciences Dhar Elmahraz, Fez Atlas, Morocco;Département de physique, Université Sidi Mohamed Ben Abdelah, Faculté des Sciences Dhar Elmahraz, Fez Atlas, Morocco

  • Venue:
  • WSEAS Transactions on Systems and Control
  • Year:
  • 2007

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Abstract

In this paper, stable direct and indirect decentralized adaptive fuzzy controls are proposed for a class of large-scale nonlinear systems with the strong interconnected. The feedback and adaptive mechanisms for each subsystem depend only upon local measurements to provide asymptotic tracking of a reference trajectory. In both approaches, the proposed controllers are used to approximate the unknown subsystems. In addition, each subsystem is able to adaptively compensate for interconnections without known bounds. Simulation results are given to illustrate the tracking performance of the proposed methods.