H? control of Markov jump LPV systems for a four degree-of-freedom active magnetic bearing system

Lingchun Li, Guangming Zhang, Shen Yan

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

Abstract

This paper addresses the H? state feedback control of continuous Markov jump LPV systems. A separating technique is employed to tackle the coupling among Lyapunov variable, system matrix, and controller parameter. Worst-case analysis is used for LPV systems to design gain-scheduled controllers. Based on these strategies, new sufficient conditions for the closed-loop system to be stochastically stable are formulated in the framework of linear matrix inequalities. Finally, the derived stabilization condition is applied to the control of a four-freedom active magnetic bearing.

Original languageEnglish
Title of host publicationProceedings of the 2017 5th International Conference on Control, Mechatronics and Automation, ICCMA 2017
PublisherAssociation for Computing Machinery
Pages88-89
Number of pages2
ISBN (Electronic)9781450353397
DOIs
StatePublished - 11 Oct 2017
Event5th International Conference on Control, Mechatronics and Automation, ICCMA 2017 - Edmonton, Canada
Duration: 11 Oct 201713 Oct 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Control, Mechatronics and Automation, ICCMA 2017
Country/TerritoryCanada
CityEdmonton
Period11/10/1713/10/17

Keywords

  • Active magnetic bearing ?AMBs?
  • Linear parameter-varying (LPV)
  • Markov jump systems (MJSs)
  • Separating technique

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