Adaptive Dynamic Programming with Applications in Optimal Control
This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-tim...
| Main Authors: | , , , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Series: | Advances in Industrial Control,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- History of Adaptive Dynamic Programming
- Part I: Continuous-Time Systems
- Optimal Control of Continuous-Time Affine Nonlinear Systems
- Optimal Control of Nonaffine Continuous-Time Systems
- Robust and Guaranteed Cost Control of Continuous-Time Nonlinear Systems
- Decentralized Stabilization and Control of Nonlinear Interconnected Systems
- Online Synchronous Optimal Learnign Algorithms for Multiplayer Nonzero-Sum Games with Unknown Dynamics
- Part II: Discrete-Time Systems
- Value Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
- Finite Approximation Error-Based Value Iteration for Adaptive Dynamic Programming
- Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems
- Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
- Error-Bound Analysis of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
- Part III: Applications
- Adaptive Dynamic Programming for Renewable Energy Scheduling and Battery Management in Smart Homes
- Adaptive Dynamic Programming for Optimal Tracking Control of a Coal Gasification Process
- Data-Driven Neuro-Optimal Temperature Control of Water–Gas Shift Reaction.
