Delay-dependent stability criteria for delayed cellular neural networks
Sufficient conditions are presented for the global exponential stability of the equilibrium point of a class of neural networks with delays. By dividing the variation interval of the time delay into four subintervals with equal length, new conditions are obtained based on time-varying delays. Because a novel Lyapunov-Krasovskii functional is introduced and some free-weighting matrices are involved, the obtained results are less conservative.
Global exponential stability linear matrix inequality(LMI) cellular neural networks
Li Jin
Department of Mathematics, Dalian Jiaotong University,116028,China
国际会议
成都
英文
271-274
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）