Reinforcement Learning for Optimal Feedback Control

Reinforcement Learning for Optimal Feedback Control
Author :
Publisher : Springer
Total Pages : 305
Release :
ISBN-10 : 9783319783840
ISBN-13 : 331978384X
Rating : 4/5 (84X Downloads)

Book Synopsis Reinforcement Learning for Optimal Feedback Control by : Rushikesh Kamalapurkar

Download or read book Reinforcement Learning for Optimal Feedback Control written by Rushikesh Kamalapurkar and published by Springer. This book was released on 2018-05-10 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book’s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution. To yield an approximate optimal controller, the authors focus on theories and methods that fall under the umbrella of actor–critic methods for machine learning. They concentrate on establishing stability during the learning phase and the execution phase, and adaptive model-based and data-driven reinforcement learning, to assist readers in the learning process, which typically relies on instantaneous input-output measurements. This monograph provides academic researchers with backgrounds in diverse disciplines from aerospace engineering to computer science, who are interested in optimal reinforcement learning functional analysis and functional approximation theory, with a good introduction to the use of model-based methods. The thorough treatment of an advanced treatment to control will also interest practitioners working in the chemical-process and power-supply industry.


Reinforcement Learning for Optimal Feedback Control Related Books

Reinforcement Learning for Optimal Feedback Control
Language: en
Pages: 305
Authors: Rushikesh Kamalapurkar
Categories: Technology & Engineering
Type: BOOK - Published: 2018-05-10 - Publisher: Springer

DOWNLOAD EBOOK

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in
Optimal Feedback Control
Language: en
Pages: 205
Authors: Rafail Gabasov
Categories: Technology & Engineering
Type: BOOK - Published: 2014-03-12 - Publisher: Springer

DOWNLOAD EBOOK

This book outlines a new approach to constructing optimal feedback controls for linear control systems that are under the influence of constantly acting bounded
Optimal Control Theory
Language: en
Pages: 466
Authors: Donald E. Kirk
Categories: Technology & Engineering
Type: BOOK - Published: 2012-04-26 - Publisher: Courier Corporation

DOWNLOAD EBOOK

Upper-level undergraduate text introduces aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for t
Nonlinear and Optimal Control Systems
Language: en
Pages: 584
Authors: Thomas L. Vincent
Categories: Science
Type: BOOK - Published: 1997-06-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Designed for one-semester introductory senior-or graduate-level course, the authors provide the student with an introduction of analysis techniques used in the
Optimal Control
Language: en
Pages: 900
Authors: Michael Athans
Categories: Technology & Engineering
Type: BOOK - Published: 2013-04-26 - Publisher: Courier Corporation

DOWNLOAD EBOOK

Geared toward advanced undergraduate and graduate engineering students, this text introduces the theory and applications of optimal control. It serves as a brid