ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Brief paper: New results on stabilization of Markovian jump systems with time delay
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Novel robust stability criteria for stochastic hopfield neural networks with time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the transient and steady-state estimates of interval genetic regulatory networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Globally exponential synchronization and synchronizability for general dynamical networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Automation and Computing
Extended state estimator design method for neutral-type neural networks with time-varying delays
International Journal of Systems, Control and Communications
ACM Transactions on Sensor Networks (TOSN)
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In this correspondence, the problem of exponential stability for neural networks with time delay is investigated. By introducing a novel Lyapunov-Krasovskii functional with the idea of delay fractioning, a new criterion of exponential stability is derived and then formulated in terms of a linear matrix inequality. This new criterion proves to be much less conservative than the most recent result, and the conservatism can be notably reduced as the fractioning goes thinner. An example is provided to demonstrate the advantage of the proposed result.