Performance monitored continuous time LQ stochastic adaptive control

Peter E. Caines, David Levanony

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

2 Scopus citations

Abstract

This extended abstract presents a continuous time stochastic adaptive control algorithm for completely observed linear stochastic systems with unknown parameters. The adaptive estimation algorithm is designed so that, first, it drives the estimate into a neighborhood Iδ of a set I of parameters corresponding to the true closed loop dynamics and then, second, by activating a performance monitoring feature in Iδ, the estimate converges to the true system parameter and the resulting control yields optimal long run LQ closed loop performance.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers
Pages3539-3543
Number of pages5
ISBN (Print)0780312988
StatePublished - 1 Dec 1993
Externally publishedYes
EventProceedings of the 32nd IEEE Conference on Decision and Control. Part 2 (of 4) - San Antonio, TX, USA
Duration: 15 Dec 199317 Dec 1993

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0191-2216

Conference

ConferenceProceedings of the 32nd IEEE Conference on Decision and Control. Part 2 (of 4)
CitySan Antonio, TX, USA
Period15/12/9317/12/93

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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