Description: Output Feedback Reinforcement Learning Control for Linear Systems, Paperback by Rizvi, Syed Ali Asad; Lin, Zongli, ISBN 3031158601, ISBN-13 9783031158605, Brand New, Free shipping in the US 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.
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Book Title: Output Feedback Reinforcement Learning Control for Linear Systems
Number of Pages: Xvi, 294 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Topic: Mechanical, System Theory, Electrical, Optimization
Illustrator: Yes
Genre: Mathematics, Technology & Engineering, Science
Item Weight: 16.9 Oz
Item Length: 9.3 in
Author: Syed Ali Asad Rizvi, Zongli Lin
Book Series: Control Engineering Ser.
Item Width: 6.1 in
Format: Trade Paperback
