relation: http://eprints.imtlucca.it/2458/
title: SM identification of input-output LPV models with uncertain time-varying parameters
creator: Cerone, Vito
creator: Piga, Dario
creator: Regruto, Diego
subject: QA75 Electronic computers. Computer science
description: In this chapter, we consider the identification of single-input single-output linear-parameter-varying models when both the output and the time-varying parameter measurements are affected by bounded noise. First, the  problem of computing exact parameter uncertainty intervals is formulated in terms of semialgebraic optimization. Then, a suitable relaxation tecnique is presented to compute parameter  bounds by means of convex optimization. Advantages of the presented approach with respect to previously published results are discussed.
publisher: World Scientific
date: 2012
type: Book Section
type: PeerReviewed
identifier:   Cerone, Vito and Piga, Dario and Regruto, Diego  SM identification of input-output LPV models with uncertain time-varying parameters.   In:  Linear parameter-varying system identification: new developments and trends.   Advanced Series in Electrical and Computer Engineering  (14).  World Scientific, pp. 41-64.  ISBN 978-981-4355-44-5       (2012)