Robust Neural Networks Control for Uncertain Systems with Time-Varying Delays and Sector Bounded Perturbations

  • Authors:

  • Qing Zhu;Shumin Fei;Tao Li;Tianping Zhang

  • Affiliations:

  • Department of Automatic Control, Southeast University, Nanjing, Jiangsu, China;Department of Automatic Control, Southeast University, Nanjing, Jiangsu, China;Department of Automatic Control, Southeast University, Nanjing, Jiangsu, China;College of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China

  • Venue:
  • ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
  • Year:
  • 2007

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Abstract

In this paper, a robust neural networks adaptive control scheme is proposed for the stabilization of uncertain linear systems with time-varying delay and bounded perturbations. The uncertainty is assumed to be unknown continuous function without norm-bounded restriction. The perturbation is sector-bounded. Combined with liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the stability of the close-loop system for any admissible uncertainty.