Approximate Dynamic Programming Methodology for Data-based Optimal Controllers

In this article, we present a methodology for learning data-based approximately optimal controllers, within the context of learning and approximate dynamic programming. There are previous solutions in dynamic programming that use linear programming in discrete state space, but cannot be applied dire...

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Bibliographic Details
Main Authors: Henry Díaz, Leopoldo Armesto, Antonio Sala
Format: Article
Language:Spanish
Published: Universitat Politecnica de Valencia 2019-06-01
Series:Revista Iberoamericana de Automática e Informática Industrial RIAI
Subjects:
Online Access:https://polipapers.upv.es/index.php/RIAI/article/view/10379