Output Feedback Reinforcement Learning Control for Linear Systems - Tapa blanda

Rizvi, Syed Ali Asad; Lin, Zongli

 
9783031158599: Output Feedback Reinforcement Learning Control for Linear Systems

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783031158575: Output Feedback Reinforcement Learning Control for Linear Systems (Control Engineering)

Edición Destacada

ISBN 10:  3031158571 ISBN 13:  9783031158575
Editorial: Birkhäuser, 2022
Tapa dura