HOSVD based canonical form for polytopic models of dynamic systems

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39 Citations (Scopus)

Abstract

The higher order singular-value-based canonical form of linear parameter varying models we define, extracts a models's most important invariant characteristics. We studied the numerical reconstructibility of the canonical form using a routinely executable tractable uniform method, and present convergency theorems for given numerical reconstruction constraint.

Original languageEnglish
Pages (from-to)52-60
Number of pages9
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume13
Issue number1
Publication statusPublished - Jan 2009

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Dynamical systems

Keywords

  • HOSVD
  • Linear matrix inequalities (LMI)
  • LPV model
  • Polytopic dynamic model
  • TP model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

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abstract = "The higher order singular-value-based canonical form of linear parameter varying models we define, extracts a models's most important invariant characteristics. We studied the numerical reconstructibility of the canonical form using a routinely executable tractable uniform method, and present convergency theorems for given numerical reconstruction constraint.",
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