Robust adaptive control: The qLPV paradigm

Research output: Conference contribution

1 Citation (Scopus)

Abstract

In a large number of practical problems there are significant variations in disturbances, uncertainties, or model parameters; one of the purposes of feedback is to shrink uncertainty attributable either to additive disturbances or to imperfect knowledge of the plant model. Feedback performance is therefore measurable by the extent of the shrinkage. That performance is itself affected by uncertainty as to the plant model, and so there is a linkage between feedback performance and information about the plant. Robust control, i.e., deriving optimal or lower bounds on system performance in the presence of uncertainty (disturbances, parametric model uncertainty, unmodeled dynamics) is one of the main goals in control identification and adaptation.

Original languageEnglish
Title of host publication2007 European Control Conference, ECC 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5554-5555
Number of pages2
ISBN (Electronic)9783952417386
Publication statusPublished - jan. 1 2007
Event2007 9th European Control Conference, ECC 2007 - Kos, Greece
Duration: júl. 2 2007júl. 5 2007

Publication series

Name2007 European Control Conference, ECC 2007

Other

Other2007 9th European Control Conference, ECC 2007
CountryGreece
CityKos
Period7/2/077/5/07

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Bokor, J. (2007). Robust adaptive control: The qLPV paradigm. In 2007 European Control Conference, ECC 2007 (pp. 5554-5555). [7069040] (2007 European Control Conference, ECC 2007). Institute of Electrical and Electronics Engineers Inc..