Switched Message Estimation for Time-varied Data Dropout in Networked Control Systems

Chen-Chou Hsieh*, Pau-Lo Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

As messages and nodes over a network increase, delay time in a networked control system (NCS) increases and results in frequent dropout, thereby seriously degrading the performance and stability of NCS. Therefore, effective methods are urgently needed to handle the time delay and dropout effects of NCS. In this paper, a real-time transition probability estimator for the two-state Markov chain model is proposed for online monitoring of the dropout condition by using a short-window technique. Furthermore, under time-varied dropout conditions, the most suitable least-square estimator can be determined in real time by applying intelligent message estimator (IME), and missing data from NCS can be efficiently estimated and restored.
Original languageEnglish
Title of host publication2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)
PublisherIEEE
Pages2881-2886
ISBN (Print)978-1-4799-3840-7
DOIs
StatePublished - 2014
Event2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States
Duration: 5 Oct 20148 Oct 2014

Publication series

Name IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
PublisherIEEE
ISSN (Print)1062-922X

Conference

Conference2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
CountryUnited States
CitySan Diego
Period5/10/148/10/14

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