Discussion on: “Subspace-based Identification Algorithms for Hammerstein and Wiener Models”

Brillinger, 1977, The identification of a particular nonlinear time series system, Biometrika, 64, 509, 10.1093/biomet/64.3.509 Dykstra, 1983, An algorithm for restricted least squares regression, J Amer Statist Assoc, 77, 621, 10.1080/01621459.1982.10477861 Efromovich, 1999 Greblicki, 1992, Nonparametric identification of Wiener systems, IEEE Trans Inform Theory, 38, 1487, 10.1109/18.149500 Greblicki, 1994, Nonparametric identification of Wiener systems by orthogonal series, IEEE Trans Automatic Control, 39, 2077, 10.1109/9.328819 Greblicki, 2004, Nonlinearity recovering in Wiener system driven with correlated signal, IEEE Trans Automatic Control, 49, 1805, 10.1109/TAC.2004.835581 Greblicki, 1986, Identification of discrete Hammerstein systems using kernel regression estimates, IEEE Trans Automatic Control, 31, 74, 10.1109/TAC.1986.1104096 Rice, 1963, Approximation with convex constraints, SIAM J Appl Math, 11, 15, 10.1137/0111002 Pawlak, 1991, On the series expansion approach to the identification Hammerstein systems, IEEE Trans on Autom Control, 36, 763, 10.1109/9.86954 Pawlak, 1998, Nonlinear system identification by the Haar multiresolution analysis, IEEE Trans Circuits Syst-I: Fund Theory Appl, 45, 945, 10.1109/81.721260 Pawlak, 2005, Non-parametric identification of nonlinear one and two-channel systems by multiscale expansions, Technical Report