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Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming

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Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming

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Díaz Iza, HP. (2020). Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/139135

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Title: Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming
Author: Díaz Iza, Henry Paúl
Director(s): Armesto Ángel, Leopoldo Sala Piqueras, Antonio
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Read date / Event date:
2020-02-20
Issued date:
Abstract:
[ES] La presente Tesis emplea técnicas de programación dinámica y aprendizaje por refuerzo para el control de sistemas no lineales en espacios discretos y continuos. Inicialmente se realiza una revisión de los conceptos ...[+]


[CAT] La present Tesi empra tècniques de programació dinàmica i aprenentatge per reforç per al control de sistemes no lineals en espais discrets i continus. Inicialment es realitza una revisió dels conceptes bàsics de ...[+]


[EN] The present Thesis employs dynamic programming and reinforcement learning techniques in order to obtain optimal policies for controlling nonlinear systems with discrete and continuous states and actions. Initially, a ...[+]
Subjects: Optimal control , Linear programming , Approximate dynamic programming , Control applications , Neural networks , Adaptive dynamic programming fitted Q function , Reinforcement learning , Takagi-Sugeno , Linear matrix inequality , Intelligent control
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/139135
Publisher:
Universitat Politècnica de València
Thanks:
This work was supported by the National Department of Higher Education, Science, Technology and Innovation of Ecuador (SENESCYT), and the Spanish ministry of Economy and European Union, grant DPI2016-81002-R (AEI/FEDER,UE). ...[+]
Type: Tesis doctoral

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