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SM identification of input-output LPV models with uncertain time-varying parameters

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)

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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.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 12 Jan 2015 12:06
Last Modified: 12 Jan 2015 12:06
URI: http://eprints.imtlucca.it/id/eprint/2458

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