Adaptive and Learning-Based Control of Safety-Critical Systems (Record no. 84686)

000 -LEADER
fixed length control field 03864nam a22006255i 4500
001 - CONTROL NUMBER
control field 978-3-031-29310-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163517.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230515s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031293108
-- 978-3-031-29310-8
082 04 - CLASSIFICATION NUMBER
Call Number 629.8
100 1# - AUTHOR NAME
Author Cohen, Max.
245 10 - TITLE STATEMENT
Title Adaptive and Learning-Based Control of Safety-Critical Systems
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 194 p. 31 illus., 28 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Lyapunov-based Control Design -- Safety-Critical Control -- Adaptive Control Lyapunov Functions -- Adaptive Safety-Critical Control -- Modular Adaptive Safety-Critical Control -- Robust Safety-Critical Control for Systems with Actuation Uncertainty -- Safe Exploration in Model-Based Reinforcement Learning -- Temporal Logic Guided Safe Model-Based Reinforcement Learning -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Belta, Calin.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-29310-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2023.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear theories.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control, Robotics, Automation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied Dynamical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1686
912 ## -
-- ZDB-2-SXSC

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