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Output Feedback Reinforcement Learning Control for Linear Systems

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...

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Bibliografiske detaljer
Main Authors: Rizvi, Syed Ali Asad (Author), Lin, Zongli (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer International Publishing : Imprint: Birkhäuser, 2023.
Udgivelse:1st ed. 2023.
Serier:Control Engineering,
Fag:
System theory.
Control theory.
Control engineering.
Mathematical optimization.
Calculus of variations.
Systems Theory, Control.
Control and Systems Theory.
Calculus of Variations and Optimization.
Online adgang:https://doi.org/10.1007/978-3-031-15858-2
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Indholdsfortegnelse:
  • Preface
  • Introduction to Optimal Control and Reinforcement Learning
  • Model-Free Design of Linear Quadratic Regulator
  • Model-Free H-infinity Disturbance Rejection and Linear Quadratic Zero-Sum Games
  • Model-Free Stabilization in the Presence of Actuator Saturation
  • Model-Free Control of Time Delay Systems
  • Model-Free Optimal Tracking Control and Multi-Agent Synchronization
  • Index.

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