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Robust sampled-data control with random missing data scenario

journal contribution
posted on 2014-01-01, 00:00 authored by T H Lee, J H Park, S M Lee, O M Kwon
The problem of robust sampled-data control for uncertain dynamic systems in the presence of missing data has been investigated. By using stochastic variables with a Bernoulli distributed white sequence to model missing data, along with time-varying norm-bounded uncertainties, and the input delay approach for sampled-data systems, two models for the considered sampled-data control system are proposed as the consecutive missing data scenario. Moreover, when data are missing, the control signals are held as the last received data. Sufficient conditions for the existence of desired robust sampled-data controllers are presented in the form of a linear matrix inequality. A numerical example is given to illustrate the validity of the proposed methods and to compare the results between the two proposed models of the sampled-data control system.

History

Journal

International journal of control

Volume

87

Issue

9

Pagination

1957 - 1969

Publisher

Taylor & Francis

Location

Abingdon, Eng.

ISSN

0020-7179

eISSN

1366-5820

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2014, Taylor & Francis