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Stability Analysis and \(H_\infty \) Performance for Nonlinear Fuzzy Networked Control Systems with Time-Varying Delay

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

This paper studies the problem of delay-dependent stability and \(H_\infty \) performance for nonlinear fuzzy networked control systems with time-varying delay. Based on Lyapunov–Krasovskii theorem, a less conservative sufficient condition is obtained in terms of linear matrix inequalities (LMIs) in such a way that it can be easily solved by using standard numerical package. The main novelty of the proposed method is to use the information about the time delays in sensor and actuator. Finally, numerical examples are given to show the advantage and usefulness of this work.

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Correspondence to Ahmed Ech-charqy .

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Ech-charqy, A., Idrissi, S., Ouahi, M., Tissir, E.H., Naami, G. (2020). Stability Analysis and \(H_\infty \) Performance for Nonlinear Fuzzy Networked Control Systems with Time-Varying Delay. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_5

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