£106.92

Birkhauser Output Feedback Reinforcement Learning Control for Linear Systems (Control Engineering)

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£108.01 £88.20 £92.52 £96.84 £101.17 £105.49 £109.81 26 April 2026 08 May 2026 21 May 2026 03 June 2026 16 June 2026

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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 2022
Listed Since
27 July 2022

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