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This paper is concerned with the finite-horizon H∞ state estimation problem for time-varying complex networks with redundant channels. The redundant channels are employed in the data transmission to against the fragility of communication networks commonly configured by the single channel subject to data missing and uniform quantization effects. The aim of the addressed problem is to design an estimator...
In this paper, the state estimation problem is investigated for a class of discrete-time complex networks under the event-triggered framework. The event-based estimator receives the updated measurements from the sensors only when the prespecified event-triggering rule is violated. Compared with the traditional estimator with the clock driven rule, a series of event-based state estimators are developed...
This paper is concerned with the state estimation problem for a class of nonlinear discrete-time complex networks subject to false data injection attacks. By utilizing Bernoulli random binary distributed white sequences, the false data injection attack model is established to describe the characteristics of false data injection attacks applying to the complex networks under consideration. An estimator...
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