@incollection{eprints2445,
       booktitle = {Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC)},
            note = {50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), held in Orlando USA), December 12-15, 2011},
       publisher = {IEEE},
          author = {Vito Cerone and Dario Piga and Diego Regruto},
           title = {Set-membership identification of Hammerstein-Wiener systems},
            year = {2011},
           month = {December},
           pages = {2819--2824},
             url = {http://eprints.imtlucca.it/2445/},
        abstract = {Set-membership identification of Hammerstein-Wiener models is addressed in the paper. First, it is shown that computation of tight parameter bounds requires the solutions to a number of nonconvex constrained polynomial optimization problems where the number of decision variables increases with the length of the experimental data sequence. Then, a suitable convex relaxation procedure is presented to significantly reduce the computational burden of the identification problem. A detailed discussion of the identification algorithm properties is reported. Finally, a simulated example is used to show the effectiveness and the computational tractability of the proposed approach.},
        keywords = {Decision support systems; Noise; Optimization; Polynomials; Uncertain systems; Uncertainty; Vector}
}