LMI-based model reduction for a vectored-thrust ducted fan

Carolyn Beck, Bobby Bodenheimer, Pascale Bendotti

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper contains the first experimental application of model reduction methods developed for systems represented by a Linear Fractional Transformation (LFT) on a repeated scalar uncertainty structure. These methods provide for reduction of both the state order, and the uncertainty descriptions. LFT models of a vectored-thrust flight control experiment are reduced in order to make controller synthesis feasible. Recent Linear Parameter Varying (LPV) design techniques are used to synthesize the controllers.

Original languageEnglish (US)
Pages (from-to)871-872
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1995
Externally publishedYes
EventProceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA
Duration: Dec 13 1995Dec 15 1995

ASJC Scopus subject areas

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

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