Exponential stability of delayed bi-directional associative memory networks

  • Authors:
  • Jinde Cao;Meifang Dong

  • Affiliations:
  • Department of Applied Mathematics, Southeast University, Nanjing 210096, China;Department of Applied Mathematics, Southeast University, Nanjing 210096, China

  • Venue:
  • Applied Mathematics and Computation
  • Year:
  • 2003

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Abstract

Some sufficient conditions are derived for the global exponential stability in delayed bi-directional associative memory (BAM) networks by constructing suitable Lyapunov functional and the inequality 2ab ≤ a2 + b2 technique. These conditions have an important leading significance in the design and applications of globally exponentially stable neural circuits for delayed BAM.