Patricia H. Moraes Rego

According to our database1, Patricia H. Moraes Rego authored at least 11 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2022
Optimal Control and Adaptive Learning for Stabilization of a Quadrotor-type Unmanned Aerial Vehicle via Approximate Dynamic Programming.
RITA, 2022

2020
A Neuro-Fuzzy Model for Online Optimal Tuning of PID Controllers in Industrial System Applications to the Mining Sector.
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.
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.
Eng. Appl. Artif. Intell., 2017

2016
Computational Performance of State-Value Function Approximators Based on RLS-HDP Estimators for Online DLQR Control System Design.
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><sup><i>T</i></sup> factorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming.
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.
PhD thesis, 2014

RLS Algorithms and Convergence Analysis Method for Online DLQR Control Design via Heuristic Dynamic Programming.
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.
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.
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.
Proceedings of the IEEE International Conference on Systems, 2013


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