Affiliation:
1. School of Information Science and Engineering Wuhan University of Science and Technology Wuhan, Hubei China
2. School of Electronic and Control Engineering North China Institute of Aerospace Engineering Langfang, Hebei China
Abstract
AbstractThis paper proposes a two‐step method to design a resilient filter and two dynamic quantizers for a class of discrete‐time systems. In the first step, a filter is designed to make the discrete‐time system stochastically stable, and make the
norm between the filtering error and the external disturbance less than a given level. In the second step, two dynamic quantizers, which quantify the measurement output signal and the performance output signal, respectively, are designed under the condition that the filter gain matrices are obtained. In addition, the filter adopted in this paper takes the randomly occurring uncertainty into consideration, and the quantizers are designed by an inequality scaling technique which can reduce the complexity of linear matrix inequalities. Furthermore, this paper also considers the data packet dropout that may occur during network transmission. Finally, considering the data packet dropout and quantization of measurement output signal and performance output signal, the effectiveness of the proposed filter design method is demonstrated by two simulation examples.
Funder
National Natural Science Foundation of China
Subject
Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)