Identification of a class of non-linear systems with gaussian non-white inputs

DOI10.1080/00207728008967035zbMath0441.93039OpenAlexW2004242602MaRDI QIDQ3883993

S. Y. Fakhouri

Publication date: 1980

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728008967035

zbMATH Keywords

discrete Volterra kernelsnonlinear no-memory elementssubsystems with memory

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12) General systems theory (93A99)

Related Items (5)

Identification of systems containing linear dynamic and static nonlinear elements ⋮ Identification of bilinear systems ⋮ Properties of a simple bilinear stochastic model: Estimation and predictability ⋮ Receiver-side nonlinearities mitigation using an extended iterative decision-based technique ⋮ Identification of nonlinear systems from steady-state frequency response

Cites Work

• The kernel identification method (1910-1977)-review of theory, calculation, application, and interpretation
• An iterative method for the identification of nonlinear systems using a Uryson model
• Further results on the identification problem for the class of nonlinear systems<tex>S_M</tex>
• A New Method for Minimising a Sum of Squares without Calculating Gradients
• Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm

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