Stability of the Kalman filtering with two periodically switching sensors over lossy networks

You, Keyou; Sui, Tianju; FuSui, Minyue; Song, Shiji

Title: Stability of the Kalman filtering with two periodically switching sensors over lossy networks
Creator: You, Keyou; Sui, Tianju; FuSui, Minyue; Song, Shiji
Publisher Link: http://dx.doi.org/10th IEEE International Conference on Control and Automation (IEEE ICCA 2013). Proceedings from the 10th IEEE International Conference on Control and Automation (Hangzhou, China 12-14 June, 2013) p. 1962-1967
Publisher Link: http://dx.doi.org/10.1109/ICCA.2013.6565038
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2013
Description: This paper considers the stability of Kalman filtering of a discrete-time stochastic system using two periodically switching sensors over a network subject to random packet losses, which is modeled by an independent and identically distributed Bernoulli process. It is proved that this problem can be converted into the stability of Kalman filtering using two sensors at each time instant, where the measurements of each sensor are transmitted via an independent lossy channel. Some necessary and sufficient conditions for stability of the estimation error covariance matrices are respectively established, and the effect of the periodic switching on the stability is revealed. Their implications and relationships with related results in the literature are discussed.
Subject: Kalman filters; covariance matrices; estimation theory; stability; stochastic processes
Identifier: http://hdl.handle.net/1959.13/1295307
Identifier: uon:18994
Identifier: ISBN:9781467347075
Language: eng
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