Remote state estimator design under the round‐Robin protocol

Abstract

SummaryThis paper focuses on the remote estimation problem for cyber‐physical systems under the round‐Robin protocol. A round‐Robin protocol‐based Kalman filter is deployed to estimate the real system states on the remote side. When sensor measurements are transmitted by communication networks, the round‐Robin protocol with the zero‐input‐holder strategy is adopted to determine which sensor measurements are transmitted, reducing the communication burden and risk of being attacked. Both the protocol‐based open‐loop and closed‐loop estimation scenarios are considered. The delay resulting from adopting the protocol with the zero‐input‐holder strategy is handled effectively. Corresponding filtering algorithms are proposed, and the estimation error covariance is proved to be converged. Finally, in addition to the effectiveness of the proposed round‐Robin protocol‐based filtering algorithms, simulation results are given to demonstrate that the performance of the proposed filtering algorithms can match that of the classical Kalman filter.