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

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 design techniques are used to synthesize the controllers.

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