Mixed H<sub>2</sub>/H<sub>∞</sub> State Estimation for Discrete-Time Switched Complex Networks With Random Coupling Strengths Through Redundant Channels.

Chen, Yun; Wang, Zidong; Wang, Licheng; Sheng, Weiguo · IEEE Trans Neural Netw Learn Syst · 2020

basic_science · Level V

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Abstract

This article investigates the mixed H<sub>2</sub>/H<sub>∞</sub> state estimation problem for a class of discrete-time switched complex networks with random coupling strengths through redundant communication channels. A sequence of random variables satisfying certain probability distributions is employed to describe the stochasticity of the coupling strengths. A redundant-channel-based data transmission mechanism is adopted to enhance the reliability of the transmission channel from the sensor to the estimator. The purpose of the addressed problem is to design a state estimator for each node, such that the error dynamics achieves both the stochastic stability (with probability 1) and the prespecified mixed H<sub>2</sub>/H<sub>∞</sub> performance requirement. By using the switched system theory, an extensive stochastic analysis is carried out to derive the sufficient conditions ensuring the stochastic stability as well as the mixed H<sub>2</sub>/H<sub>∞</sub> performance index. The desired state estimator is also parameterized by resorting to the solutions to certain convex optimization problems. A numerical example is provided to illustrate the validity of the proposed estimation scheme.