Set-Valued Approaches to Control and Estimation of Uncertain Systems : Theory and Applications
Language: English
Published by Springer, 2025
- Hardcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Title
- Set-Valued Approaches to Control and Estimation of Uncertain Systems : Theory and Applications
- Author
- Dinh, Thach Ngoc (EDT); Rauh, Andreas (EDT); Yong, Sze Zheng (EDT); Wang, Zhenhua (EDT)
- Publisher
- Springer
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031942388
- ISBN 13
- 9783031942389
This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.
Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.
Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.
Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.
Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
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