Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor

• Autore: Boguslavskiy, Josif A.
• Pubblicazione: Cham, : Springer, 2016
• Titolo uniforme: Dynamic Systems Models : New Methods of Parameter and State Estimation
• Descrizione fisica: xx, 201 p. ; 24 cm
• Soggetto topico: 68W40 - Analysis of algorithms [MSC 2020]; 37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]; 93E11 - Filtering in stochastic control theory [MSC 2020]; 93E10 - Estimation and detection in stochastic control theory [MSC 2020]; 93-XX - Systems theory; control [MSC 2020]; 65L09 - Numerical methods of inverse problems involving ordinary differential equations [MSC 2020]; 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020]
• Soggetto non controllato: Aerospatial Dynamics; Asset pricing; Biological Sequence Analysis; Hidden Markov Model; Inverse Problems; Parameter Estimation; Polynomial Approximation; Speech Recognition
• Persona (resp. second.): Borodovsky, Mark
• Titolo autorizzato: Dynamic Systems Models : New Methods of Parameter and State Estimation
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0162131
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-319-04036-3