Abstract
Abstract This paper studies the problem of non-fragile state estimator design for Markovian complex networks with coupling transmission delays, where the uncertainties exist in both the transition probability matrix and the estimator parameter. Furthermore, the estimator parameter uncertainty is supposed to be node- and mode-dependent. By constructing a parameter-dependent Lyapunov function, two sufficient conditions with less conservativeness are developed, which ensure the stochastic stability and the strictly ( Q - S - R )-γ-dissipative performance of the estimation error system. Then, the dissipative non-fragile state estimator is designed successfully via linear matrix inequality method. Finally, a simulation example is given to illustrate the effectiveness of the theoretical results.
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