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Identification of polyperiodic nonlinear systems
Signal Processing, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GARDNER W. A, PAURA, LUIGI
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Nonlinear system identification and characterization
International Conference on Acoustics, Speech, and Signal Processing, 2003Given a Volterra series representation of an input-output system, the authors present a result concerning conditions under which there exists a feedback linearizable realization of the nonlinear system. In addition, they develop a method to compute the unknown parameters in a canonical-form realization from the known Volterra kernels.
L. R. Hunt +2 more
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Identification of Structured Nonlinear Systems
IEEE Transactions on Automatic Control, 2008This paper is concerned with the identification of static nonlinear components in a complex interconnected system. These nonlinear components are treated nonparametrically, in the sense that no natural parameterization is assumed to be available.
Kenneth Hsu +2 more
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A Contribution on the Identification of Nonlinear Systems
2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), 2018In this paper, an identification method is proposed to determine the nonlinear systems parameters. The proposed nonlinear systems can be described by Wiener systems. This structure of models consists of series of linear dynamic element and a nonlinearity block. Both the linear and nonlinear parts are nonparametric.
Adil Brouri, Laila Kadi
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Multiscale nonlinear system identification
2007 46th IEEE Conference on Decision and Control, 2007Multiscale wavelet-based representation is a powerful data analysis and feature extraction tool. In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of nonlinear models by developing a multiscale nonlinear (MSNL) system identification algorithm. In particular, we consider the class of linear-in-
Mohamed N. Nounou, Hazem N. Nounou
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Set membership identification of nonlinear systems
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MILANESE, Mario, NOVARA, Carlo
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Identification of linear systems with nonlinear distortions
Automatica, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Johan Schoukens +3 more
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Efficient nonlinear system identification
ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005System identification of a second order truncated Volterra series with correlated and Gaussian input is investigated. This problem has been treated by Schetzen using Wiener nonlinear theory. In this paper we show how this nonlinear system can be efficient|y identified using Gaussian properties of the input.
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Convergence of an Identification Technique for Nonlinear Systems
IEEE Transactions on Computers, 1972The error equation for an approximate derivative computation scheme predicts convergence of a minimum area criterion for the identification of nonmemory-type nonlinearities and nonconvergence for memory-type nonlinearties. Determination of the system order and gain parameters is possible. Typical experimental results are given.
G. N. Govindan, R. A. Higgins
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Nonlinear Programming for System Identification
IFAC Proceedings Volumes, 1979Abstract Numerical procedures for dynamic system identification are discussed. Efficient algorithms for static least-squares problems provide a starting point for dynamic systems nonlinear programming methods. This paper shows that in dynamic systems, the additional computation time required for the first and the second gradients over function ...
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