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Output feedback stabilization for dynamic MIMO semi-linear stochastic systems with output randomness attenuation

  • De Montfort University

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

Abstract

In this paper, the problem of randomness attenuation is investigated for a class of MIMO semi-linear stochastic systems. To achieve this control objective, a m-block backstepping controller is designed to stabilize the closed-loop systems in probability sense. In addition, the output randomness attenuation can be achieved by optimising the design parameters using minimum entropy criterion. The effectiveness of this presented control algorithm can be verified by a given numerical example. In summary, the main contributions of this paper are characterized as follows: (1) an output feedback design method is adapted to stabilise the dynamic multi-variable semi-linear stochastic systems by block backstepping; (2) randomness of the system output is attenuated by searching the optimal design parameter based on the entropy criterion; (3) a framework of performance enhancement for stochastic systems is developed.

Original languageEnglish
Title of host publicationICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781862203426
DOIs
StatePublished - Sep 2018
Externally publishedYes
Event24th IEEE International Conference on Automation and Computing, ICAC 2018 - Newcastle upon Tyne, United Kingdom
Duration: 6 Sep 20187 Sep 2018

Publication series

NameICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing

Conference

Conference24th IEEE International Conference on Automation and Computing, ICAC 2018
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18

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