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Efficient nonlinear system identification

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
System 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, 1972
The 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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Identification of linear systems with nonlinear distortions

Automatica, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Johan Schoukens   +3 more
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Deep Recurrent Neural Networks for Nonlinear System Identification

IEEE Symposium Series on Computational Intelligence, 2019
Deep recurrent neural networks are used as a means for nonlinear system identification. It is shown that state space models can be transformed into recurrent neural networks and vice versa. This transformation and the understanding of the long short-term
Max Schüssler, T. Münker, O. Nelles
semanticscholar   +1 more source

Nonlinear Programming for System Identification

IFAC Proceedings Volumes, 1979
Abstract 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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Nonlinear system identification of a double-well Duffing oscillator with position-dependent friction

Nonlinear dynamics, 2022
Ruiguo Zhu   +4 more
semanticscholar   +1 more source

The Identification Problem in Systems Nonlinear in the Variables

Econometrica, 1983
This paper examines the identifiability of the coefficients of a single equation in a simultaneous equation model which is nonlinear only in the variables. The concept of identifiability in this model is motivated and developed using the closely related concept of observational equivalence.
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Sparse structural system identification method for nonlinear dynamic systems with hysteresis/inelastic behavior

Mechanical systems and signal processing, 2019
A system identification technique suitable for single degree of freedom (SDOF) and multiple degree of freedom (MDOF) structural systems with either nonlinear elastic or inelastic/hysteretic behavior is proposed in this paper.
Zhilu Lai, Satish Nagarajaiah
semanticscholar   +1 more source

Identification of Nonlinear Systems

IFAC Proceedings Volumes, 1994
Abstract A method is proposed for approximating dynamic nonlinear systems using parallel cascades of alternating dynamic linear and static nonlinear elements. A key advantage of the proposed method is its effectiveness in approximating nonlinear systems which cannot be well fit using the first few terms of a Volterra series.
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