A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming

Goal representation heuristic dynamic programming (GrHDP) control design has been developed in recent years. The control performance of this design has been demonstrated in several case studies, and also showed applicable to industrial-scale complex control problems. In this paper, we develop the th...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 27; H. 12; S. 2513 - 2525
Hauptverfasser:	Zhong, Xiangnan, Ni, Zhen, He, Haibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive dynamic programming (ADP) Algorithm design and analysis Approximation algorithms Control methods Convergence convergence analysis Design Dynamic programming Goal programming goal representation Heuristic Mathematical model neural network online learning and control Performance analysis Performance indices Problem solving Reinforcement Representations Theoretical analysis Upper bound
ISSN:	2162-237X, 2162-2388
Online-Zugang:	Volltext
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