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Patricia H. Moraes Rego

Patrícia Helena Moraes Rêgo

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Books and Theses

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2014
[b1]
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Patrícia Helena Moraes Rêgo:
Aprendizagem por Reforço e Programação Dinâmica Aproximada para Controle Ótimo: Uma Abordagem para o Projeto Online do Regulador Linear Quadrático Discreto com Programação Dinâmica Heurística Dependente de Estado e Ação. Federal University of Maranhão, Brazil, 2014

Journal Articles

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2022
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  - journals/rita/SouzaRSL22
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Joelson Miller Bezerra De Souza, Patrícia Helena Moraes Rêgo, Guilherme Bonfim De Sousa, Janes Valdo Rodrigues Lima:
Optimal Control and Adaptive Learning for Stabilization of a Quadrotor-type Unmanned Aerial Vehicle via Approximate Dynamic Programming. RITA 29(3): 21-35 (2022)
2020
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  - journals/tfs/MouraNR20
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José Pinheiro de Moura, João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo:
A Neuro-Fuzzy Model for Online Optimal Tuning of PID Controllers in Industrial System Applications to the Mining Sector. IEEE Trans. Fuzzy Syst. 28(8): 1864-1877 (2020)
2019
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Guilherme Bonfim De Sousa, Patrícia Helena Moraes Rêgo:
Convergence and numerical stability of action-dependent heuristic dynamic programming algorithms based on RLS learning for online DLQR optimal control. Int. J. Comput. Sci. Eng. 20(3): 317-334 (2019)
2017
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Ernesto Franklin Marcal Ferreira, Patrícia Helena Moraes Rêgo, João Viana da Fonseca Neto:
Numerical stability improvements of state-value function approximations based on RLS learning for online HDP-DLQR control system design. Eng. Appl. Artif. Intell. 63: 1-19 (2017)
2015
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Patrícia Helena Moraes Rêgo, João Viana da Fonseca Neto, Ernesto Franklin Marcal Ferreira:
Convergence of the standard RLS method and UDU^T factorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming. Int. J. Syst. Sci. 46(11): 2006-2028 (2015)

Conference and Workshop Papers

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2016
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Ernesto Franklin Marcal Ferreira, João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo:
Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design. UKSim 2016: 27-34
2014
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Jonathan A. Queiroz, Patricia H. Moraes Rego, João Viana da Fonseca Neto, Cristiane Cristina Sousa da Silva, Ewaldo Eder Carvalho Santana, Allan Kardec Barros:
Convergence Analysis using non-squares estimators to approximate the solution of HJB-Riccati equation for the design DLQR via HDP. UKSim 2014: 63-68
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Watson R. M. Santos, Jonathan A. Queiroz, João Viana da Fonseca Neto, Patricia H. Moraes Rego, Ewaldo Eder Carvalho Santana, Gustavo Araújo de Andrade:
RLS Algorithms and Convergence Analysis Method for Online DLQR Control Design via Heuristic Dynamic Programming. UKSim 2014: 77-83
2013
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  - conf/smc/NetoFR13
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João Viana da Fonseca Neto, Ernesto Franklin Marcal Ferreira, Patricia H. Moraes Rego:
Online Optimal DLQR-DFIG Control System Design via Recursive Least-Square Approach and State Heuristic Dynamic Programming for Approximate Solution of the HJB Equation. SMC 2013: 3174-3179
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Jonathan A. Queiroz, Patricia H. Moraes Rego, João Viana da Fonseca Neto, Cristiane Cristina Sousa da Silva, Ewaldo Eder Carvalho Santana, Allan Kardec Barros:
Estimators Based on Non-squares Loss Functions to Approximate HJB-Riccati Equation Solution for DLQR Design via HDP. SMC 2013: 3238-3243

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