TY  - CHAP
ID  - eprints2458
EP  - 64
T2  - Linear parameter-varying system identification: new developments and trends
SN  - 978-981-4355-44-5 
PB  - World Scientific
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
N2  - 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.
SP  - 41
T3  - Advanced Series in Electrical and Computer Engineering
Y1  - 2012///
AV  - none
TI  - SM identification of input-output LPV models with uncertain time-varying parameters
UR  - http://eprints.imtlucca.it/2458/
ER  -