Patricia H. Moraes Rego

According to our database, Patricia H. Moraes Rego authored at least 11 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Optimal Control and Adaptive Learning for Stabilization of a Quadrotor-type Unmanned Aerial Vehicle via Approximate Dynamic Programming.

Joelson Miller Bezerra De Souza, Patrícia Helena Moraes Rêgo, Guilherme Bonfim De Sousa, Janes Valdo Rodrigues Lima

RITA, 2022

2020

A Neuro-Fuzzy Model for Online Optimal Tuning of PID Controllers in Industrial System Applications to the Mining Sector.

José Pinheiro de Moura, João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo

IEEE Trans. Fuzzy Syst., 2020

2019

Convergence and numerical stability of action-dependent heuristic dynamic programming algorithms based on RLS learning for online DLQR optimal control.

Guilherme Bonfim De Sousa, Patrícia Helena Moraes Rêgo

Int. J. Comput. Sci. Eng., 2019

2017

Numerical stability improvements of state-value function approximations based on RLS learning for online HDP-DLQR control system design.

Ernesto Franklin Marcal Ferreira, Patrícia Helena Moraes Rêgo, João Viana da Fonseca Neto

Eng. Appl. Artif. Intell., 2017

2016

Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design.

Ernesto Franklin Marcal Ferreira, João Viana da Fonseca Neto, Patrícia Helena Moraes Rêgo

Proceedings of the UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, 2016

2015

Convergence of the standard RLS method and <i>UDU</i>^<i>T</i> factorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming.

Patrícia Helena Moraes Rêgo, João Viana da Fonseca Neto, Ernesto Franklin Marcal Ferreira

Int. J. Syst. Sci., 2015

2014

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.

Patrícia Helena Moraes Rêgo

PhD thesis, 2014

RLS Algorithms and Convergence Analysis Method for Online DLQR Control Design via Heuristic Dynamic Programming.

Watson R. M. Santos, Jonathan A. Queiroz, João Viana da Fonseca Neto, Patricia H. Moraes Rego, Ewaldo Eder Carvalho Santana, Gustavo Araújo de Andrade

Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

Convergence Analysis using non-squares estimators to approximate the solution of HJB-Riccati equation for the design DLQR via HDP.

Jonathan A. Queiroz, Patricia H. Moraes Rego, João Viana da Fonseca Neto, Cristiane Cristina Sousa da Silva, Ewaldo Eder Carvalho Santana, Allan Kardec Barros

Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

2013

Estimators Based on Non-squares Loss Functions to Approximate HJB-Riccati Equation Solution for DLQR Design via HDP.

Jonathan A. Queiroz, Patricia H. Moraes Rego, João Viana da Fonseca Neto, Cristiane Cristina Sousa da Silva, Ewaldo Eder Carvalho Santana, Allan Kardec Barros

Proceedings of the IEEE International Conference on Systems, 2013

Online Optimal DLQR-DFIG Control System Design via Recursive Least-Square Approach and State Heuristic Dynamic Programming for Approximate Solution of the HJB Equation.

João Viana da Fonseca Neto, Ernesto Franklin Marcal Ferreira, Patricia H. Moraes Rego

Proceedings of the IEEE International Conference on Systems, 2013