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Stochastic Lagrangian Adaptation / / by David Levanony, Peter E. Caines



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Autore: Levanony David Visualizza persona
Titolo: Stochastic Lagrangian Adaptation / / by David Levanony, Peter E. Caines Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (81 pages)
Disciplina: 003.76
Soggetto topico: Stochastic processes
Stochastic Systems and Control
Processos estocàstics
Anàlisi estocàstica
Soggetto genere / forma: Llibres electrònics
Altri autori: CainesPeter E  
Nota di contenuto: Introduction -- Problem Statement -- Asymptotic Maximum Likelihood Identification -- Geometric Results -- Lagrangian Adaptation -- Proof of Theorem 5.2 -- Index.
Sommario/riassunto: This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive estimation algorithm is engineered to drive the maximum likelihood estimate into the set of parameters representing the true closed-loop dynamics. By incorporating a performance monitoring feature, this approach ensures that the estimate converges to the true system parameters. Concurrently, it delivers optimal long-term LQ closed-loop performance. This groundbreaking work offers a significant advancement in the field of stochastic control systems.
Titolo autorizzato: Stochastic Lagrangian Adaptation  Visualizza cluster
ISBN: 9783031737589
303173758X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910906301403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Mathematics, . 2191-8201