System identification of nonlinear state-space models
Copyright policy )System identification of nonlinear state-space models
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- Linköping University Sweden
- University of Newcastle Australia Australia
Nonlinear models, Estimation and detection in stochastic control theory, Identification in stochastic control theory, Control Engineering, Dynamic systems, Expectation maximisation algorithm, smoothing filters, Filtering in stochastic control theory, Monte Carlo method, particle methods, Reglerteknik, Particle methods, expectation maximisation algorithm, Smoothing filters, System identification, nonlinear models, dynamic systems, system identification
Nonlinear models, Estimation and detection in stochastic control theory, Identification in stochastic control theory, Control Engineering, Dynamic systems, Expectation maximisation algorithm, smoothing filters, Filtering in stochastic control theory, Monte Carlo method, particle methods, Reglerteknik, Particle methods, expectation maximisation algorithm, Smoothing filters, System identification, nonlinear models, dynamic systems, system identification
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