A0775
Title: Event-triggered state estimation for time-varying systems under coder-decoder mechanism
Authors: Hongxu Zhang - Harbin University of Science and Technology (China) [presenting]
Abstract: This note discusses the recursive filtering problem for a set of time-varying systems. In order to avoid data collisions, an event-triggered mechanism is employed to determine whether the sensor signal is received by the predictor side. For the traditional event-triggered mechanisms, the sensors determine whether to transmit the sequence by judging the triggering conditions, and the estimator updates the value using the received signal. For the proposed event-triggering mechanism, the predictor determines whether to receive the transmitted information based on its own judgment conditions. In addition, the predicted signal is encoded when transmitted to the estimator side, and then the estimator updates the signal by utilizing the decoded predictor. The aim is to propose a robust state estimation algorithm for addressed systems such that sufficient conditions are derived to ensure the existence of the gain matrices by optimizing the upper bound of the estimation error covariance. Finally, a numerical example is utilized to illustrate the validity and correctness of the developed optimal state estimation strategy.
