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Output Feedback Reinforcement Learning Control for Linear Systems / by Syed Ali Asad Rizvi, Zongli Lin.

Springer eBooks EBA - Engineering Collection 2023 Available online

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Format:
Book
Author/Creator:
Rizvi, Syed Ali Asad, author.
Lin, Zongli, 1964- author.
Series:
Control Engineering, 2373-7727
Language:
English
Subjects (All):
System theory.
Control theory.
Automatic control.
Mathematical optimization.
Calculus of variations.
Systems Theory, Control.
Control and Systems Theory.
Calculus of Variations and Optimization.
Local Subjects:
Systems Theory, Control.
Control and Systems Theory.
Calculus of Variations and Optimization.
Physical Description:
1 online resource (304 pages)
Edition:
1st ed. 2023.
Place of Publication:
Cham : Springer International Publishing : Imprint: Birkhäuser, 2023.
Summary:
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only reduce the requirement of sensors by means of output feedback, but also ensure optimality and stability guarantees. A variety of practical challenges are considered, including disturbance rejection, control constraints, and communication delays. Ideas from game theory are incorporated to solve output feedback disturbance rejection problems, and the concepts of low gain feedback control are employed to develop RL controllers that achieve global stability under control constraints. Output Feedback Reinforcement Learning Control for Linear Systems will be a valuable reference for graduate students, control theorists working on optimal control systems, engineers, and applied mathematicians.
Contents:
Preface
Introduction to Optimal Control and Reinforcement Learning
Model-Free Design of Linear Quadratic Regulator
Model-Free H-infinity Disturbance Rejection and Linear Quadratic Zero-Sum Games
Model-Free Stabilization in the Presence of Actuator Saturation
Model-Free Control of Time Delay Systems
Model-Free Optimal Tracking Control and Multi-Agent Synchronization
Index.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Rizvi, Syed Ali Asad Output Feedback Reinforcement Learning Control for Linear Systems
ISBN:
3-031-15858-X
OCLC:
1355219129

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