Control synthesis using the fully probabilistic design

Ales Lebeda, John Leth

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

This paper focus on stochastic control design in the Kullback-Leibler sense. The technique is called the Fully Probabilistic Design (FPD) and consist in essence of finding a stochastic control law, given in terms of a probability density function (pdf), minimizing the Kullback-Liebler distance between pdfs describing a given closed loop system and a desired closed loop system. This paper demonstrate that the FPD method can 1) be used in a Model Predictive Control strategy, and 2) be used for control of the pneumatic valve which represents a nonlinear system.

Original languageEnglish
Title of host publication2016 IEEE Conference on Computer Aided Control System Design, CACSD 2016 : Part of 2016 IEEE Multi-Conference on Systems and Control
Number of pages6
PublisherIEEE
Publication date19 Oct 2016
Pages1458-1463
Article number7602561
ISBN (Electronic)9781509007592
DOIs
Publication statusPublished - 19 Oct 2016
Event2016 IEEE Conference on Computer Aided Control System Design, CACSD 2016 - Buenos Aires, Argentina
Duration: 19 Sept 201622 Sept 2016

Conference

Conference2016 IEEE Conference on Computer Aided Control System Design, CACSD 2016
Country/TerritoryArgentina
CityBuenos Aires
Period19/09/201622/09/2016

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