Téléchargez le livre : Output Feedback Reinforcement Learning Control for Linear Systems

Output Feedback Reinforcement Learning Control for Linear Systems

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Éditeur :

Birkhäuser


Collection :

Control Engineering

Paru le : 2022-11-29

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Description

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.
Pages
294 pages
Collection
Control Engineering
Parution
2022-11-29
Marque
Birkhäuser
EAN papier
9783031158575
EAN PDF
9783031158582
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
6103 Ko
Prix
147,69 €
EAN EPUB
9783031158582
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
24996 Ko
Prix
147,69 €

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