Abstract
The problem of state estimation is investigated for complex network systems with quantization and event-triggered communication scheme. A quantization method is introduced to quantize the output signal, which can reduce the burden of data transmission; An event-triggered communication scheme is cited, which is useful to reduce the communication burden of transmission channel. The main purpose of this paper is to analyze and design a reliable estimator. Firstly, using event-triggered scheme to determine whether the newly sampled signal will be sent out. Secondly, signals will be transmitted to estimator by quantizer. A Lyapunov functional approach and linear matrix inequality techniques are employed to construct a system model with time-varying delay. Criteria for globally asymptotically stability in the mean square sense and criteria for the existence of state estimator are derived. Finally, simulation results have shown the effectiveness of the proposed method.
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