Orthonormal Basis Functions for Nonlinear System Identification with Local Linear Model Trees (LOLIMOT)
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[1] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[2] I. J. Leontaritis,et al. Input-output parametric models for non-linear systems Part II: stochastic non-linear systems , 1985 .
[3] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[4] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[5] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[6] P. V. D. Hof,et al. A generalized orthonormal basis for linear dynamical systems , 1995, IEEE Trans. Autom. Control..
[7] Jozsef Bokor,et al. System identification with generalized orthonormal basis functions , 1995, Autom..
[8] A. J. Krijgsman,et al. System Identification with Orthogonal Basis Functions and Neural Networks , 1996 .
[9] O. Nelles,et al. Basis function networks for interpolation of local linear models , 1996, Proceedings of 35th IEEE Conference on Decision and Control.
[10] Bo Wahlberg,et al. On approximation of stable linear dynamical systems using Laguerre and Kautz functions , 1996, Autom..
[11] T. Johansen,et al. Operating regime based process modeling and identification , 1997 .