Paper Info
Title
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
Abstract
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 theoretical analysis for the GrHDP design under certain conditions. It has been shown that the interna...
Year
DOI
Venue
2016
10.1109/TNNLS.2015.2490698
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Performance analysis,Convergence,Algorithm design and analysis,Upper bound,Mathematical model,Approximation algorithms,Dynamic programming
Convergence (routing),Monotonic function,Dynamic programming,Approximation algorithm,Mathematical optimization,Algorithm design,Computer science,Inductive programming,Artificial intelligence,Control flow analysis,Machine learning,Bounded function
Journal
Volume
Issue
ISSN
27
12
2162-237X
Citations 
PageRank 
References 
20
0.65
36
Authors
3
Name
Order
Citations
PageRank
Xiangnan Zhong134616.35
Zhen Ni252533.47
Haibo He33653213.96