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This paper deals with the robust H ∞ control problem for a class of uncertain neural networks with discrete interval and distributed time-varying delays. The main purpose of this paper is to estimate robust asymptotic stability of the given neural network with H ∞ performance analysis γ . By constructing novel Lyapunov–Krasovskii functionals with triple integral terms, several new less conservative delay-dependent stability conditions for H ∞ control are obtained in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed theoretical results. The method given in this paper shows less conservative results when comparing with some existing methods. [ABSTRACT FROM AUTHOR]

This paper investigates the problem of delay dependent robust H ∞ control for a class of uncertain systems with distributed time-varying delays. The aim is to design a delay-dependent robust H ∞ control which ensures robust asymptotic stability of the system. The Delay derivative dependent robust H ∞ control criteria are obtained in terms of Linear Matrix Inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the proposed method. The results are also compared with the existing results to show the conservativeness. [ABSTRACT FROM AUTHOR]