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.
| ISBN: | 9783031158575 |
| Publication date: | 30th November 2022 |
| Author: | Syed Ali Asad Rizvi, Zongli Lin |
| Publisher: | Birkhauser Verlag AG |
| Format: | Hardback |
| Pagination: | 294 pages |
| Series: | Control Engineering |
| Genres: |
Cybernetics and systems theory Automatic control engineering Optimization |
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.
Output Feedback Reinforcement Learning Control for Linear Systems features in the following genres: Cybernetics and systems theory, Automatic control engineering, Optimization
Hardback. £116.99, down from the £129.99 cover price. Not Available.
Output Feedback Reinforcement Learning Control for Linear Systems was written by Syed Ali Asad Rizvi, Zongli Lin and published by Birkhauser Verlag AG
Output Feedback Reinforcement Learning Control for Linear Systems has 294 pages
Yes it is part of Control Engineering series
£116.99, reduced from £129.99. Not Available.