Duality in Robust Control: Controller vs. Uncertainty

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Abstract

To find a controller that provides the maximal stability margin to an LTI system under rank-one perturbations is a quasiconvex problem. In the paper, the dual quasiconvex problem is obtained, using the convex duality arguments in the Hardy space H∞. It is shown that the dual problem can be viewed as minimization of a "length" of uncertainties that destabilize the system. Several examples establishing a connection with such classical results as the corona theorem and the Adamyan-Arov-Krein theorem are considered
Original languageEnglish
Title of host publicationProceedings of the 40th IEEE Conference on Decision and Control, 2001.
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1113-1118
Volume2
ISBN (Print)0-7803-7061-9
DOIs
Publication statusPublished - 2001
EventConference on Decision and Control - Orlando, United States
Duration: 2001 Dec 4 → …

Publication series

Name
Volume2

Conference

ConferenceConference on Decision and Control
Country/TerritoryUnited States
CityOrlando
Period2001/12/04 → …

Subject classification (UKÄ)

  • Control Engineering

Free keywords

  • uncertain systems
  • robust control
  • duality (mathematics)
  • linear systems
  • minimisation
  • optimisation

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