Global asymptotic stability of delayed cellular neural networks

IEEE Trans Neural Netw. 2007 May;18(3):947-50. doi: 10.1109/tnn.2007.891628.

Abstract

A new criterion for the global asymptotic stability of the equilibrium point of cellular neural networks with multiple time delays is presented. The obtained result possesses the structure of a linear matrix inequality and can be solved efficiently using the recently developed interior-point algorithm. A numerical example is used to show the effectiveness of the obtained result.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Computer Simulation
  • Decision Support Techniques*
  • Information Storage and Retrieval / methods*
  • Models, Theoretical*
  • Neural Networks, Computer*
  • Pattern Recognition, Automated / methods*