Abstract
This paper studies the problem of event-triggered state estimation for complex network systems with quantization. The event-triggered communication scheme and quantization are employed to reduce the burden of network transmission. By utilizing Lyapunov stability theory and linear matrix inequality techniques, sufficient conditions are established which can ensure the augmented estimation error system to be asymptotically stable. Furthermore, the explicit expressions of the desired state estimators are derived in terms of linear matrix inequalities. Finally, an example is provided to illustrate the usefulness of the proposed method.
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