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Novel results on stability analysis of neutral-type neural networks with additive time-varying delay components and leakage delay
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Novel results on stability analysis of neutral-type neural networks with additive time-varying delay components and leakage delay
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Novel results on stability analysis of neutral-type neural networks with additive time-varying delay components and leakage delay
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Journal Article
Novel results on stability analysis of neutral-type neural networks with additive time-varying delay components and leakage delay
2017
Overview
The objective of this paper is to analyze the stability analysis of neutral-type neural networks with additive time-varying delay and leakage delay. By constructing a suitable augmented Lyapunov-Krasovskii functional with 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 delay bounds of time-varying delays are used to derive the stability criteria, which can lead less conservative results. The obtained conditions are expressed with linear matrix inequalities (LMIs) whose feasible can be checked easily by MATLAB LMI control toolbox. Finally, two numerical examples are given to demonstrate the effectiveness of the proposed method.
Publisher
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers,Springer Nature B.V,제어·로봇·시스템학회
