Neural networks letter: New passivity criteria for neural networks with time-varying delay

  • Authors:
  • Zexu Zhang;Shaoshuai Mou;James Lam;Huijun Gao

  • Affiliations:
  • School of Astronautics, Harbin Institute of Technology, China;University of Yale, USA;The Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong;Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin, China

  • Venue:
  • Neural Networks
  • Year:
  • 2009

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Abstract

In this paper, improved criteria for the passivity of neural networks with time delay are proposed. The improvement is achieved by exploiting the finer relationships between the time-varying delay and its size bound which allow the use of more slack variables. It is illustrated via numerical examples that the proposed results are less conservative than those available in the literature.