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Fitted Q-Function Control Methodology Based on Takagi-Sugeno Systems

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Fitted Q-Function Control Methodology Based on Takagi-Sugeno Systems

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Diaz-Iza, HP.; Armesto, L.; Sala, A. (2020). Fitted Q-Function Control Methodology Based on Takagi-Sugeno Systems. IEEE Transactions on Control Systems Technology. 28(2):477-488. https://doi.org/10.1109/TCST.2018.2885689

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/154029

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Title: Fitted Q-Function Control Methodology Based on Takagi-Sugeno Systems
Author: Diaz-Iza, Henry Paul Armesto, Leopoldo Sala, Antonio
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] This paper presents a combined identification/ Q-function fitting methodology that involves identification of a Takagi-Sugeno model, computation of (sub)optimal controllers from linear matrix inequalities (LMIs), and ...[+]
Subjects: Adaptive dynamic programming (DP) , Fitted Q-function , Linear matrix inequality (LMI) , Reinforcement learning (RL) , Takagi-Sugeno (TS)
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Control Systems Technology. (issn: 1063-6536 )
DOI: 10.1109/TCST.2018.2885689
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TCST.2018.2885689
Project ID:
info:eu-repo/grantAgreement/MINECO//DPI2016-81002-R/ES/CONTROL AVANZADO Y APRENDIZAJE DE ROBOTS EN OPERACIONES DE TRANSPORTE/
Description: "© 2020 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."
Thanks:
This work was supported in part by the Spanish Ministry of Economy and European Union (AEI/FEDER, UE) under Grant DPI2016-81002-R and in part by the Government of Ecuador through the Ph.D. Grant SENESCYT.
Type: Artículo

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