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R. Samidurai,S. Rajavel,R. Sriraman,Ahmed Alsaedi,Fuad E. Alsaadi,Jinde Cao 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.4
The objective of this paper is to analyze the stability analysis of neutral-type neural networks with additivetime-varying delay and leakage delay. By constructing a suitable augmented Lyapunov-Krasovskii functionalwith triple and four integral terms, some new stability criteria are established in terms of linear matrix inequalities,which is easily solved by various convex optimization techniques. More information of the lower and upper delaybounds of time-varying delays are used to derive the stability criteria, which can lead less conservative results. Theobtained conditions are expressed with linear matrix inequalities (LMIs) whose feasible can be checked easily byMATLAB LMI control toolbox. Finally, two numerical examples are given to demonstrate the effectiveness of theproposed method.