%N 14
%D 2012
%A Vito Cerone
%A Dario Piga
%A Diego Regruto
%L eprints2458
%P 41-64
%I World Scientific
%X 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.
%B Linear parameter-varying system identification: new developments and trends
%S Advanced Series in Electrical and Computer Engineering
%T SM identification of input-output LPV models with uncertain time-varying parameters