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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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 27; číslo 12; s. 2513 - 2525
Hlavní autoři:	Zhong, Xiangnan, Ni, Zhen, He, Haibo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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