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...

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Bibliographic Details
Main Authors: Liu, Derong
Corporate Authors: SpringerLink Online service
Group Author: Wei, Qinglai; Wang, Ding; Yang, Xiong; Li, Hongliang
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Advances in Industrial Control,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-50815-3
Summary: 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-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are ass
Carrier Form: 1 online resource (XXX, 594 pages) : illustrations.
ISBN: 9783319508153
Index Number: TJ212
CLC: TP273
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 Er