Distributed State Estimation of Sensor-Network Systems Subject to Markovian Channel Switching With Application to a Chemical Process

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 48; no. 6; pp. 864 - 874
• Main Authors: Yin, Xunyuan, Li, Zhaojian, Zhang, Lixian, Han, Minghao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channel estimation; Channel switching; chemical process; Chemical processes; Data communication; Delays; Linear systems; Markov chains; multiple communication channels (MCCs); networked systems; Organic chemistry; Robot sensing systems; sensor networks (SNs); State estimation; Switches; Switching theory
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2016.2632155

This paper addresses a distributed estimator design problem for linear systems deployed over sensor networks within a multiple communication channels (MCCs) framework. A practical scenario is taken into account such that the channel used for communication can be switched and the switching is governed by a Markov chain. With the existence of communicational imperfections and external disturbances, an estimation algorithm is proposed such that the developed distributed estimators are able to give accurate state estimates against the channel switching phenomenon. The distributed estimation framework is applied to a chemical process to illustrate the effectiveness of the proposed methodology and the superiority of the MCCs framework featured by channel switching.