Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions
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[1] Rui Zou,et al. Multiple time-varying dynamic analysis using multiple sets of basis functions , 2005, IEEE Transactions on Biomedical Engineering.
[2] Stephen A. Billings,et al. Generalized multiscale radial basis function networks , 2007, Neural Networks.
[3] J. Nagumo,et al. A learning method for system identification , 1967, IEEE Transactions on Automatic Control.
[4] T. S. Liu,et al. A wavelet network control method for disk drives , 2006, IEEE Transactions on Control Systems Technology.
[5] Stephen A. Billings,et al. Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets , 2010, Int. J. Model. Identif. Control..
[6] S. Mallat. A wavelet tour of signal processing , 1998 .
[7] Stephen A. Billings,et al. A new class of wavelet networks for nonlinear system identification , 2005, IEEE Transactions on Neural Networks.
[8] Fahmida N. Chowdhury. Input-output modeling of nonlinear systems with time-varying linear models , 2000, IEEE Trans. Autom. Control..
[9] Nirmal K. Bose,et al. Properties determining choice of mother wavelet , 2005 .
[10] Amara Lynn Graps,et al. An introduction to wavelets , 1995 .
[11] Georgios B. Giannakis,et al. Time-varying system identification and model validation using wavelets , 1993, IEEE Trans. Signal Process..
[12] Bin Jiang,et al. REDUCTION OF FALSE ALARMS IN FAULT DETECTION PROBLEMS , 2006 .
[13] Sanjit K. Mitra,et al. Block implementation of adaptive digital filters , 1981 .
[14] Jorge L. Aravena,et al. A modular methodology for fast fault detection and classification in power systems , 1998, IEEE Trans. Control. Syst. Technol..
[15] R. Ghanem,et al. A WAVELET-BASED APPROACH FOR THE IDENTIFICATION OF LINEAR TIME-VARYING DYNAMICAL SYSTEMS , 2000 .
[16] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Bin Jiang,et al. Fault estimation and accommodation for linear MIMO discrete-time systems , 2005, IEEE Transactions on Control Systems Technology.
[18] S. A. Billings,et al. An efficient nonlinear cardinal B-spline model for high tide forecasts at the Venice Lagoon , 2006 .
[19] Lennart Ljung,et al. Adaptation and tracking in system identification - A survey , 1990, Autom..
[20] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[21] J. Shynk. Frequency-domain and multirate adaptive filtering , 1992, IEEE Signal Processing Magazine.
[22] Simon Haykin,et al. Adaptive filter theory (2nd ed.) , 1991 .
[23] Maciej Niedzwiecki,et al. Identification of time-varying systems with abrupt parameter changes , 1991, Autom..
[24] S. A. Billings,et al. Experimental design and identifiability for non-linear systems , 1987 .
[25] Kazushi Nakano,et al. Nonlinear Predictive Control Using Neural Nets-Based Local Linearization ARX Model—Stability and Industrial Application , 2007, IEEE Transactions on Control Systems Technology.
[26] Domenico Prattichizzo,et al. Application of Kalman Filter to Remove TMS-Induced Artifacts from EEG Recordings , 2008, IEEE Transactions on Control Systems Technology.