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Stochastic Lagrangian Adaptation (SpringerBriefs in Mathematics)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Good.
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Stochastic Lagrangian Adaptation (SpringerBriefs in Mathematics)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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Stochastic Lagrangian Adaptation (SpringerBriefs in Mathematics)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Fine.
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Stochastic Lagrangian Adaptation (SpringerBriefs in Mathematics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 43.90
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Paperback. Condition: Brand New. 83 pages. 9.25x6.10x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. Stochastic Lagrangian Adaptation | David Levanony (u. a.) | Taschenbuch | SpringerBriefs in Mathematics | vi | Englisch | 2024 | Springer | EAN 9783031737572 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Stochastic Lagrangian Adaptation
Language: English
Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031737571 ISBN 13: 9783031737572
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 77 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Stochastic Lagrangian Adaptation
Language: English
Published by Springer Verlag GmbH, 2024
ISBN 10: 3031737571 ISBN 13: 9783031737572
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Stochastic Lagrangian Adaptation
Language: English
Published by Springer, Springer Nov 2024, 2024
ISBN 10: 3031737571 ISBN 13: 9783031737572
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 84 pp. Englisch.
