A Multiresolution Wavelet based Subspace Identification

Basseville, 1992, Modeling and estimation of multiresolution stochastic processes, IEEE Transactions on Information Theory, 38, 766, 10.1109/18.119735 Carrier, 1998, Wavelet-based modulation in control-relevant process identification, AIChE Journal, 44, 341, 10.1002/aic.690440212 Chou, 1994, Multiscale recursive estimation, data fusion, and reg-ularization, IEEE Transactions on Automatic Control, 38, 464, 10.1109/9.280746 Daubechies, 1992 Dorfan, 2004, Modeling and identification of LPTV systems by wavelets, Signal Processing, 84, 1285, 10.1016/j.sigpro.2004.04.011 Doroslovacki, 1996, Wavelet-based linear system modeling and adaptive filtering, IEEE Transactions on Signal Processing, 44, 1156, 10.1109/78.502328 Duderstadt, 1976 Larimore, W.E. (1990). Canonical variate analysis in identification, filtering, and adaptive control. In Proc. 29th IEEE Conf on Decision and Control, Honolulu, Hawaii, 596–604. Li, 2011, Identification of time-varying systems using multi-wavelet basis functions, IEEE Transactions on Control Systems Technology, 19, 656, 10.1109/TCST.2010.2052257 Ljung, L. (1999). System Identification: Theory for the User. Prentice Hall, Upper Saddle River, NJ, 2nd edition. Mallat, 2008 Meyer, 1993 Mukhopadhyay, 2010, Consistent output estimate with wavelets: An alternative solution of least squares minimization problem for identification of the LZC system of a large PHWR, Annals of Nuclear Energy, 37, 974, 10.1016/j.anucene.2010.03.006 Reis, 2009, A multiscale empirical modeling framework for system identification, Journal of Process Control, 19, 1546, 10.1016/j.jprocont.2009.07.010 Strang, 1997 Sureshbabu, 1999, Wavelet-based system identification for nonlinear control, IEEE Transactions on Automatic Control, 44, 412, 10.1109/9.746278 Tsatsanis, 1993, Time-varying system identification and model validation using wavelets, IEEE Transactions on Signal Processing, 41, 3512, 10.1109/78.258089 Unser, 2000, Sampling-50 years after Shannon, Proceedings of the IEEE, 88, 569, 10.1109/5.843002 Van Overschee, 1994, N4SID:Subspace algorithms for the identification of combined deterministic-stochastic systems, Automatica, 30, 75, 10.1016/0005-1098(94)90230-5 Van Overschee, 1995, A unifying theorem for three subspace system identification algorithms, Automatica, 31, 1853, 10.1016/0005-1098(95)00072-0 Verhaegen, 1994, Identification of the deterministic part of MIMO state space models given in innovations form from input-output data, Automatica, 30, 61, 10.1016/0005-1098(94)90229-1 Vetterli, 1995 Viberg, 1995, Subspace-based methods for the identification of linear time-invariant systems, Automatica, 31, 1835, 10.1016/0005-1098(95)00107-5 Wei, 2002, Identification of time-varying systems using multiresolution wavelet models, International Journal of Systems Science, 33, 1217, 10.1080/0020772031000081982 Zhao, 2001, Biorthogonal wavelet based identification of fast linear time-varying systems– Part I: System representations, Journal of Dynamic Systems, Measurement, and Control, 123, 585, 10.1115/1.1409549