New LMT-based delay-dependent criterion for global asymptotic stability of cellular neural networks

摘要

The problem of global asymptotic stability analysis is studied fora class of cellular neural networks with time-varying delay. By defining a Lyapunov-Krasovskii functional, a new delay-dependent stability condition is derived in terms of linear matrix inequalities. The obtained criterion is less conservative than some previous literature because free-weighting matrix method and the Jensen integral inequality are considered. Three illustrative examples are given to demonstrate the effectiveness of the proposed results.