Vũ Ngọc Phát scite author profile

This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based on augmented time-varying Lyapunov-Krasovskii functionals, new delay-dependent conditions for the global exponential stabilization are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate the feasibility of our results.

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New criteria for finite-time stability of nonlinear fractional-order delay systems: A Gronwall inequality approach

Phát

Thành

2018

Applied Mathematics Letters

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Switching design for exponential stability of a class of nonlinear hybrid time-delay systems

Phát

Botmart

Niamsup

2009

Nonlinear Analysis: Hybrid Systems

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Robust stability and stabilizability of uncertain linear hybrid systems with state delays

Phát

2005

IEEE Trans. Circuits Syst. II

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Robust stabilization of linear uncertain discrete-time systems via a limited capacity communication channel

Phát

Jiang

Savkin

et al. 2004

Systems & Control Letters

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Vũ Ngọc Phát

Stability and stabilization of switched linear discrete-time systems with interval time-varying delay

Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks

LMI approach to exponential stability of linear systems with interval time-varying delays

Exponential Stabilization of Neural Networks With Various Activation Functions and Mixed Time-Varying Delays

New criteria for finite-time stability of nonlinear fractional-order delay systems: A Gronwall inequality approach

Switching design for exponential stability of a class of nonlinear hybrid time-delay systems

Robust stability and stabilizability of uncertain linear hybrid systems with state delays

Robust stabilization of linear uncertain discrete-time systems via a limited capacity communication channel

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