Stochastic Lagrangian Adaptation
Language: English
Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2024
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Condition: New
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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.
Seller Inventory # 9783031737572
- Title
- Stochastic Lagrangian Adaptation
- Author
- David Levanony
- Publisher
- Springer, Berlin, Springer Nature Switzerland, Springer
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3031737571
- ISBN 13
- 9783031737572
- Item weight
- 143 grams
- Dimensions
- 235x155x4 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Peter E. Caines received the BA in mathematics from Oxford University in 1967 and the PhD in systems and control theory in 1970 from Imperial College, University of London, supervised by David Q. Mayne, FRS. Following PDF and visiting positions,a he joined McGill University in 1980, where he is Distinguished James McGill Professor and Macdonald Chair in the Department of Electrical and Computer Engineering. He received the IEEE Control Systems Society Bode Lecture Prize (2009), is a Fellow of IFAC, CIFAR, SIAM, IEEE, the IMA (UK) and the Royal Society of Canada (2003), and is a member of Professional Engineers Ontario. His monograph, Linear Stochastic Systems (Wiley, 1988), is now published as a SIAM Classic and his research interests include stochastic and hybrid systems, and mean field (control and games) systems on large networks.
David Levanony (BSc., Aerospace Eng., 1985, MSc., Aerospace Eng., 1988, DSc., Electrical Eng., 1992, Technion, Haifa, Israel) is a Senior Lecturer with the School of Electrical and Computer Engineering, Ben Gurion University, Beer Sheva, Israel and a consultant with the defense industry in Israel.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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