Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise

K. Amelin, N. Amelina, O. Granichin, O. Granichina

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

Abstract

In this paper we join the previous results about asymptotic properties of a randomized control strategy with new one based on a non-asymptotic approach of LSCR (Leave-out Sign-dominant Correlation Regions) methods. Our consideration is focused on problems of the identification or adaptive optimal control for the linear plant with unknown parameters and dynamics disturbed by an external noise. The assumptions about the noise are reduced to a minimum: it can virtually be arbitrary, but, independently of it, the user must be able to add test perturbations through the input channel. The theoretical results are illustrated by simulations.

Original languageEnglish
Title of host publication2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC)
PublisherIEEE Canada
Pages1226-1231
Number of pages6
StatePublished - 2012
EventIEEE International Conference on Control Applications (CCA) Part of 6th IEEE Multi-Conference on Systems and Control (IEEE MSC) - Dubrovnik, Croatia
Duration: 3 Oct 20125 Oct 2012

Publication series

NameIEEE International Symposium on Intelligent Control
PublisherIEEE

Conference

ConferenceIEEE International Conference on Control Applications (CCA) Part of 6th IEEE Multi-Conference on Systems and Control (IEEE MSC)
CountryCroatia
CityDubrovnik
Period3/10/125/10/12

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