Enhanced performance controller design for stochastic systems by adding extra state estimation onto the existing closed loop control

Yuyang Zhou, Qichun Zhang, Hong Wang

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

17 Scopus citations

Abstract

To enhance the performance of the tracking property, this paper presents a novel control algorithm for a class of linear dynamic stochastic systems with unmeasurable states, where the performance enhancement loop is established based on Kalman filter. Without changing the existing closed loop with the PI controller, the compensative controller is designed to minimize the variances of the tracking errors using the estimated states and the propagation of state variances. Moreover, the stability of the closed-loop systems has been analyzed in the mean-square sense. A simulated example is included to show the effectiveness of the presented control algorithm, where encouraging results have been obtained.

Original languageEnglish
Title of host publication2016 UKACC International Conference on Control, UKACC Control 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398916
DOIs
StatePublished - Nov 7 2016
Externally publishedYes
Event11th UKACC United Kingdom Automatic Control Council International Conference on Control, UKACC Control 2016 - Belfast, United Kingdom
Duration: Aug 31 2016Sep 2 2016

Publication series

Name2016 UKACC International Conference on Control, UKACC Control 2016

Conference

Conference11th UKACC United Kingdom Automatic Control Council International Conference on Control, UKACC Control 2016
Country/TerritoryUnited Kingdom
CityBelfast
Period08/31/1609/2/16

Keywords

  • Kalman filter
  • enhanced PI controller
  • linear stochastic systems
  • stochastic distribution control

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