Title: An entropy approach to filtering for networked control systems

Authors: Jianhua Zhang; Lilong Du; Aiping Wang; Hong Wang

Addresses: School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206 China. ' School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206 China. ' Institute of Computing Sciences, Anhui University, Hefei, China. ' Control Systems Centre, The University of Manchester, Manchester, M60,1QD, UK; Key Laboratory of Integrated Automation of Process Industry, Ministry of Education and Research Center of Automation, Northeastern University, Shenyang, China

Abstract: This paper is concerned with minimum error entropy filter design for non-linear Networked Control Systems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaussian, the filter is designed under the information theoretic learning frame. The convergent condition of the proposed filter is established. A simulation example shows that the proposed approach is feasible and effective.

Keywords: networked control systems; filtering; entropy; filter design; nonlinear control; information theoretic learning; simulation; information theory.

DOI: 10.1504/IJCAT.2012.050111

International Journal of Computer Applications in Technology, 2012 Vol.44 No.4, pp.243 - 248

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 27 Oct 2012 *

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