Models for Linear and Nonlinear Systems
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[1] Stephen A. Billings,et al. An adaptive wavelet neural network for spatio-temporal system identification , 2010, Neural Networks.
[2] Liuping Wang,et al. Nonlinear system identification using two-dimensional wavelet-based state-dependent parameter models , 2009, Int. J. Syst. Sci..
[3] Stephen A. Billings,et al. Improved parameter estimates for non-linear dynamical models using a bootstrap method , 2009, Int. J. Control.
[4] Mehdi Karrari,et al. Synchronous machine model identification using continuous wavelet NARX network , 2009 .
[5] Stephen A. Billings,et al. Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio–Temporal System Identification , 2009, IEEE Transactions on Neural Networks.
[6] Stephen A. Billings,et al. Constructing an overall dynamical model for a system with changing design parameter properties , 2008, Int. J. Model. Identif. Control..
[7] Stephen A. Billings,et al. Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information , 2008, Int. J. Model. Identif. Control..
[8] T Penzel,et al. Modeling the cardiovascular system using a nonlinear additive autoregressive model with exogenous input. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[9] Yves Rolain,et al. Identification of a Block-Structured Nonlinear Feedback System, Applied to a Microwave Crystal Detector , 2008, IEEE Transactions on Instrumentation and Measurement.
[10] Stephen A. Billings,et al. Generalized Cellular Neural Networks (Gcnns) Constructed Using Particle Swarm Optimization for Spatio-Temporal Evolutionary Pattern Identification , 2008, Int. J. Bifurc. Chaos.
[11] B. De Moor,et al. Electric Load Forecasting , 2007, IEEE Control Systems.
[12] Hannu T. Toivonen,et al. Identification of state-dependent parameter models with support vector regression , 2007, Int. J. Control.
[13] Tokunbo Ogunfunmi,et al. Adaptive Nonlinear System Identification , 2007 .
[14] Stephen A. Billings,et al. Wavelet based non-parametric NARX models for nonlinear input–output system identification , 2006, Int. J. Syst. Sci..
[15] S. A. Billings,et al. An efficient nonlinear cardinal B-spline model for high tide forecasts at the Venice Lagoon , 2006 .
[16] Lingzhong Guo,et al. Estimation of spatial derivatives and identification of continuous spatio-temporal dynamical systems , 2006 .
[17] Michael J. Korenberg,et al. Parallel cascade identification and kernel estimation for nonlinear systems , 2006, Annals of Biomedical Engineering.
[18] Guo-Ping Liu,et al. Advanced controller design for aircraft gas turbine engines , 2005 .
[19] Quanmin Zhu. An implicit least squares algorithm for nonlinear rational model parameter estimation , 2005 .
[20] Stephen A. Billings,et al. A new class of wavelet networks for nonlinear system identification , 2005, IEEE Transactions on Neural Networks.
[21] S. A. Billings,et al. The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions , 2005, Int. J. Syst. Sci..
[22] Cheng-Jian Lin,et al. Prediction and identification using wavelet-based recurrent fuzzy neural networks , 2004, IEEE Trans. Syst. Man Cybern. Part B.
[23] Lingzhong Guo,et al. Identification of coupled map lattice models of stochastic spatio-temporal dynamics using wavelets , 2004 .
[24] Shuzhi Sam Ge,et al. Adaptive MNN control for a class of non-affine NARMAX systems with disturbances , 2004, Syst. Control. Lett..
[25] H. L. Wei,et al. Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions , 2004, Int. J. Syst. Sci..
[26] Steve A. Billings,et al. A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure , 2004 .
[27] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[28] M. J. Korenberg,et al. The identification of nonlinear biological systems: LNL cascade models , 1986, Biological Cybernetics.
[29] M. J. Korenberg,et al. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models , 1986, Biological Cybernetics.
[30] G. Palm,et al. On representation and approximation of nonlinear systems , 1979, Biological Cybernetics.
[31] Peter J. Fleming,et al. Nonlinear identification of aircraft gas-turbine dynamics , 2003, Neurocomputing.
[32] Marc P. Mignolet,et al. Modelling and prediction of machining errors using ARMAX and NARMAX structures , 2003 .
[33] Stephen A. Billings,et al. Identification of the neighborhood and CA rules from spatio-temporal CA patterns , 2003, IEEE Trans. Syst. Man Cybern. Part B.
[34] Quanmin Zhu,et al. A back propagation algorithm to estimate the parameters of non-linear dynamic rational models , 2003 .
[35] Er-Wei Bai,et al. A blind approach to the Hammerstein-Wiener model identification , 2002, Autom..
[36] Stephen A. Billings,et al. Identification of coupled map lattice models of deterministic distributed parameter systems , 2002, Int. J. Syst. Sci..
[37] Stephen A. Billings,et al. Identification of coupled map lattice models of complex spatio-temporal patterns , 2001 .
[38] David Rees,et al. Nonlinear gas turbine modeling using NARMAX structures , 2001, IEEE Trans. Instrum. Meas..
[39] T. Ogunfunmi,et al. Second-order adaptive Volterra system identification based on discrete nonlinear Wiener model , 2001 .
[40] P. Young,et al. Identification of non-linear stochastic systems by state dependent parameter estimation , 2001 .
[41] R. Pearson,et al. Gray-box identification of block-oriented nonlinear models , 2000 .
[42] Ali Cinar,et al. Empirical Modeling of Systems with Output Multiplicities by Multivariate Additive NARX Models , 2000 .
[43] Luis Antonio Aguirre,et al. Modeling Chaotic Dynamics with discrete nonlinear Rational Models , 2000, Int. J. Bifurc. Chaos.
[44] A. Bemporad,et al. Observability and controllability of piecewise affine and hybrid systems , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).
[45] S. Billings,et al. DISCRETE WAVELET MODELS FOR IDENTIFICATION AND QUALITATIVE ANALYSIS OF CHAOTIC SYSTEMS , 1999 .
[46] P. Julián,et al. High-level canonical piecewise linear representation using a simplicial partition , 1999 .
[47] Jay A. Farrell,et al. Wavelet-based system identification for nonlinear control , 1999, IEEE Trans. Autom. Control..
[48] Matthew A. Franchek,et al. NARMAX modelling and robust control of internal combustion engines , 1999 .
[49] George Stephanopoulos,et al. Wavelet‐based modulation in control‐relevant process identification , 1998 .
[50] R. Pearson,et al. Block‐oriented NARMAX models with output multiplicities , 1998 .
[51] Qinghua Zhang,et al. Using wavelet network in nonparametric estimation , 1997, IEEE Trans. Neural Networks.
[52] Daniel Coca,et al. Continuous-Time System Identification for Linear and Nonlinear Systems Using Wavelet Decompositions , 1997 .
[53] S. P. Schooling,et al. The practical application of a nonlinear identification methodology , 1996 .
[54] Lennart Ljung,et al. Nonlinear black-box modeling in system identification: a unified overview , 1995, Autom..
[55] Amara Lynn Graps,et al. An introduction to wavelets , 1995 .
[56] Hai-Wen Chen,et al. Modeling and identification of parallel nonlinear systems: structural classification and parameter estimation methods , 1995, Proc. IEEE.
[57] George W. Irwin,et al. Neural network applications in control , 1995 .
[58] Stephen A. Billings,et al. Nonlinear model validation using correlation tests , 1994 .
[59] S. Billings,et al. A structure detection algorithm for nonlinear dynamic rational models , 1994 .
[60] T. Johansen,et al. Constructing NARMAX models using ARMAX models , 1993 .
[61] Ruey S. Tsay,et al. Nonlinear Additive ARX Models , 1993 .
[62] Stephen A. Billings,et al. Parameter estimation for stochastic nonlinear rational models , 1993 .
[63] Qinghua Zhang,et al. Wavelet networks , 1992, IEEE Trans. Neural Networks.
[64] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[65] Sheng Chen,et al. Neural Networks for Nonlinear Dynamic System Modelling and Identification , 1992 .
[66] Sheng Chen,et al. Recursive hybrid algorithm for non-linear system identification using radial basis function networks , 1992 .
[67] Stephen A. Billings,et al. Properties of neural networks with applications to modelling non-linear dynamical systems , 1992 .
[68] Kumpati S. Narendra,et al. Gradient methods for the optimization of dynamical systems containing neural networks , 1991, IEEE Trans. Neural Networks.
[69] Stanley H. Johnson,et al. Use of Hammerstein Models in Identification of Nonlinear Systems , 1991 .
[70] S. Billings,et al. Mapping non-linear integro-differential equations into the frequency domain , 1990 .
[71] Heinz Unbehauen,et al. Structure identification of nonlinear dynamic systems - A survey on input/output approaches , 1990, Autom..
[72] S. A. Billings,et al. Spectral analysis for non-linear systems, part III: Case study examples , 1990 .
[73] Stephen A. Billings,et al. Non-linear system identification using neural networks , 1990 .
[74] Sheng Chen,et al. Parallel recursive prediction error algorithm for training layered neural networks , 1990 .
[75] Sheng Chen,et al. Extended model set, global data and threshold model identification of severely non-linear systems , 1989 .
[76] Sheng Chen,et al. Orthogonal least squares methods and their application to non-linear system identification , 1989 .
[77] S. A. Billings,et al. Spectral analysis for non-linear systems, Part I: Parametric non-linear spectral analysis , 1989 .
[78] Stephen A. Billings,et al. Spectral analysis for non-linear systems, Part II: Interpretation of non-linear frequency response functions , 1989 .
[79] Sheng Chen,et al. Identification of MIMO non-linear systems using a forward-regression orthogonal estimator , 1989 .
[80] S. A. Billings,et al. The identification of linear and non-linear models of a turbocharged automotive diesel engine , 1989 .
[81] Sheng Chen,et al. Representations of non-linear systems: the NARMAX model , 1989 .
[82] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[83] Sheng Chen,et al. Identification of non-linear output-affine systems using an orthogonal least-squares algorithm , 1988 .
[84] S. Billings,et al. Piecewise linear identification of non-linear systems , 1987 .
[85] I. J. Leontaritis,et al. Model selection and validation methods for non-linear systems , 1987 .
[86] S. Billings,et al. A prediction-error and stepwise-regression estimation algorithm for non-linear systems , 1986 .
[87] S. Billings,et al. Correlation based model validity tests for non-linear models , 1986 .
[88] Leon O. Chua,et al. Canonical piecewise-linear modeling , 1986 .
[89] Taiho Koh,et al. Second-order Volterra filtering and its application to nonlinear system identification , 1985, IEEE Trans. Acoust. Speech Signal Process..
[90] Leon O. Chua,et al. Fading memory and the problem of approximating nonlinear operators with volterra series , 1985 .
[91] Robert Haber,et al. Identification of ‘linear’ systems having signal-dependent parameters † , 1985 .
[92] I. J. Leontaritis,et al. Input-output parametric models for non-linear systems Part II: stochastic non-linear systems , 1985 .
[93] S. Billings,et al. Least squares parameter estimation algorithms for non-linear systems , 1984 .
[94] S. Billings. Parameter Estimation, Structure Detection and Model Validity Tests for Nonlinear Systems , 1983 .
[95] Leon O. Chua,et al. Measuring Volterra kernels , 1983 .
[96] Leon O. Chua,et al. Canonical piecewise-linear analysis , 1983 .
[97] Stephen A. Billings,et al. Identification of systems containing linear dynamic and static nonlinear elements , 1982, Autom..
[98] T. Ozaki,et al. Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model , 1981 .
[99] Eduardo Sontag. Nonlinear regulation: The piecewise linear approach , 1981 .
[100] L. Chua,et al. Frequency-domain analysis of nonlinear systems: formulation of transfer functions , 1979 .
[101] L. Chua,et al. Frequency domain analysis of nonlinear systems: general theory , 1979 .
[102] S. Billings,et al. Non-linear system identification using the Hammerstein model , 1979 .
[103] S. Billings,et al. Identification of nonlinear systems using the Wiener model , 1977 .
[104] Robert B. Davies,et al. The effect of errors in the independent variables in linear regression , 1975 .
[105] Donald B. Rubin,et al. THE ACCEPTABILITY OF REGRESSION SOLUTIONS: ANOTHER LOOK AT COMPUTATIONAL ACCURACY , 1972 .
[106] A. E. Hoerl,et al. Ridge Regression: Applications to Nonorthogonal Problems , 1970 .
[107] M. Schetzen. Measurement of the Kernels of a Non-linear System of Finite Order† , 1965 .
[108] J. Barrett. The Use of Functionals in the Analysis of Non-linear Physical Systems† , 1963 .
[109] D. A. George. Continuous nonlinear systems , 1959 .
[110] Martin B. Brilliant,et al. Theory of the analysis of nonlinear systems , 1958 .