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2019 | OriginalPaper | Chapter

4. Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data

Authors : Ju H. Park, Hao Shen, Xiao-Heng Chang, Tae H. Lee

Published in: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Publisher: Springer International Publishing

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Abstract

In this chapter, design methods of the sampled-data control under missing data for dynamics systems have been developed. Two models of discontinuous sampled-data control signals in the presence of the consecutive missing data scenario are proposed by using stochastic variables with a Bernoulli distributed white sequence. Sufficient conditions for the existence of desired sampled-data controllers are presented in the form of a linear matrix inequality. Finally, developed methods have been applied to RLC circuit to show the validity of the proposed methods.

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Literature
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Metadata
Title
Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data
Authors
Ju H. Park
Hao Shen
Xiao-Heng Chang
Tae H. Lee
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-96202-3_4