Identification of Hammerstein–Wiener models
Copyright policy )Identification of Hammerstein–Wiener models
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- Linköping University Sweden
- University of Newcastle Australia Australia
Maximum Likelihood, Hammerstein-Wiener models, Estimation and detection in stochastic control theory, Identification in stochastic control theory, Block-oriented models, block-oriented models, Dynamic systems, Reglerteknik, Wiener, Particle methods, maximum likelihood, System identification, system identification, expectation maximization algorithm, Nonlinear models, smoothing, Control Engineering, Monte Carlo method, particle methods, Hammerstein, Expectation maximization algorithm, nonlinear models, dynamic systems, Smoothing
Maximum Likelihood, Hammerstein-Wiener models, Estimation and detection in stochastic control theory, Identification in stochastic control theory, Block-oriented models, block-oriented models, Dynamic systems, Reglerteknik, Wiener, Particle methods, maximum likelihood, System identification, system identification, expectation maximization algorithm, Nonlinear models, smoothing, Control Engineering, Monte Carlo method, particle methods, Hammerstein, Expectation maximization algorithm, nonlinear models, dynamic systems, Smoothing
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