@incollection{eprints2458,
          number = {14},
           pages = {41--64},
          series = {Advanced Series in Electrical and Computer Engineering},
           title = {SM identification of input-output LPV models with uncertain time-varying parameters},
            year = {2012},
       publisher = {World Scientific},
          author = {Vito Cerone and Dario Piga and Diego Regruto},
       booktitle = {Linear parameter-varying system identification: new developments and trends},
             url = {http://eprints.imtlucca.it/2458/},
        abstract = {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.}
}