Dynamic output-feedback control for descriptor Markovian jump T-S fuzzy systems with model uncertainty

In Seok Park, Chan Eun Park, Poogyeon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the design problem for dynamic output-feedback control of descriptor Markovian jump T-S fuzzy systems with model uncertainty. Firstly, the admissibility criterion for the descriptor Markovian jump T-S fuzzy systems is proposed. Then, based on the assumption with respect to the model uncertainty, the closed-loop system is obtained with the mode-dependent dynamic output-feedback T-S fuzzy controller. For the obtained closed-loop system, a sufficient condition for the stochastic admissibility criterion is provided and then successfully converted into parameterized linear matrix inequalities. By appropriately choosing the structures of variables, the linear matrix inequalities are obtained as a sufficient condition for the parameterized linear matrix inequalities. Finally, this paper demonstrates the feasibility of the proposed control by providing a numerical example.

Original languageEnglish
Title of host publicationProceedings - APCCAS 2019
Subtitle of host publication2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-144
Number of pages4
ISBN (Electronic)9781728129402
DOIs
StatePublished - Nov 2019
Event15th Annual IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2019 - Bangkok, Thailand
Duration: 11 Nov 201914 Nov 2019

Publication series

NameProceedings - APCCAS 2019: 2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption

Conference

Conference15th Annual IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2019
Country/TerritoryThailand
CityBangkok
Period11/11/1914/11/19

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