摘要
The dynamics of discrete time delayed Hopfield neural networks is investigated. By using a difference inequality combining with the linear matrix inequality, a sufficient condition ensuring global exponential stability of the unique equilibrium point of the networks is found. The result obtained holds not only for constant delay but also for time-varying delays.
The dynamics of discrete time delayed Hopfield neural networks is investigated. By using a difference inequality combining with the linear matrix inequality, a sufficient condition ensuring global exponential stability of the unique equilibrium point of the networks is found. The result obtained holds not only for constant delay but also for time-varying delays.
基金
Project supported by the Program for New Century Excellent Talents in University (Grant No NCET-06-0298)
the Program for Liaoning Excellent Talents in University (Grant No RC-05-07)
the Program for Study of Science of the Educational Department of Liaoning Province, China (Grant No 05L020)
the Program for Dalian Science and Technology of China (Grant No2005A10GX106)
