Robust output feedback control for a class of nonlinear systems by adaptive neural networks

  • Authors:
  • Lijun Long;Chengkang Xie

  • Affiliations:
  • School of Mathematics and System Science, Southwest University;School of Mathematics and System Science, Southwest University

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

By Nussbaum-type gain technique and adaptive neural network, a robust adaptive neural network controller is established for a class of uncertain nonlinear systems. Under this controller, the output is regulated to a neighborhood of origin by appropriately choosing design parameters, and all signals of the closed-loop are kept bounded. The feasibility is investigated by an illustrative simulation example.