Adaptive and Learning-Based Control of Safety-Critical Systems

Language: English

Published by Springer, 2024

3031293126 / 9783031293122

Series: Book 5 of 13 - Synthesis Lectures on Computer Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control, in the control of autonomous and safety-critical systems. Safety is critical to many applications, such as autonomous driving, air traffic control, and robotics.As these learning-enabled technologies become more prevalent in the control of autonomous systems, it becomes increasingly important to ensure that such systems are safe. To address these challenges, the authors provide a self-contained treatment of learning-based control techniques with rigorous guarantees of stability and safety. This book contains recent results on provably correct control techniques from specifications that go beyond safety and stability, such as temporal logic formulas. The authors bring together control theory, optimization, machine learning, and formal methods and present worked-out examples and extensive simulation examples to complement the mathematical style of presentation. Prerequisites are minimal, and the underlying ideas are accessible to readers with only a brief background in control-theoretic ideas, such as Lyapunov stability theory.

Seller Inventory # 9783031293122

Title
Adaptive and Learning-Based Control of Safety-Critical Systems
Author
Calin Belta
Publisher
Springer
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031293126
ISBN 13
9783031293122
Item weight
371 grams
Dimensions
240x168x12 mm
Series
Book 5 of 13: Synthesis Lectures on Computer Science

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
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