J. V. F. Neto

Convergence of the standard RLS method and UDUT factorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming

João Viana da Fonseca Neto, Patricia H. Moraes Rego, Ernesto Franklin Marcal Ferreira, 2015, Int. J. Syst. Sci..

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

Patricia H. Moraes Rego, João V. F. Neto, Ernesto Franklin Marcal Ferreira, 2017, Eng. Appl. Artif. Intell..

QR-TUNING AND APPROXIMATE-LS SOLUTIONS OF THE HJB EQUATION FOR ONLINE DLQR DESIGN VIA STATE AND ACTION-DEPENDENT HEURISTIC DYNAMIC PROGRAMMING

Patricia H. Moraes Rego, P. H. M. Rego, João V. F. Neto, 2013 .

Neural–Genetic Synthesis for State-Space Controllers Based on Linear Quadratic Regulator Design for Eigenstructure Assignment

João Viana da Fonseca Neto, Ivanildo Silva Abreu, Fábio Nogueira da Silva, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Data Driven State Reconstruction of Dynamical System Based on Approximate Dynamic Programming and Reinforcement Learning

Fábio Nogueira da Silva, Fábio Nogueira Da Silva, João Viana Da Fonseca Neto, 2021, IEEE Access.

Ballistic Rockets Tracking: Kalman versus αβγ Filters

José Alano Peres de Abreu, João Viana da Fonseca Neto, Roberto Célio Limão de Oliveira, 2011, 2011 UkSim 13th International Conference on Computer Modelling and Simulation.

QR-Duality Tuning of Standard Kalman Filters Oriented to Rocket Velocity Indirect Measurement

José Alano Peres de Abreu, João Viana F. Neto, Jorge A. Farid, 2010, 2010 12th International Conference on Computer Modelling and Simulation.

HDP Algorithms for Trajectory Tracking and Formation Control of Multi-Agent Systems

R. Selmic, João V. F. Neto, E. F. M. Ferreira, 2022, IEEE Access.

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

Patricia H. Moraes Rego, Patrícia Helena Moraes Rêgo, João Viana da Fonseca Neto, 2020, IEEE Transactions on Fuzzy Systems.

Rocket tracking impact point prediction using α-β, standard Kalman, extended, Kalman, and unscented Kalman filters: a comparative analysis

José Alano Peres de Abreu, Roberto Célio Limão de Oliveira, João Viana da Fonseca Neto, 2020 .

Models of Transit Systems for Optimization of the Grounded Vehicles Fleet

João Viana da Fonseca Neto, Jose Artur Lima Cabral Marques, Fábio Nogueira da Silva, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

Parametric ARX Modeling of the Electrolytic Smelter Pot

João Viana da Fonseca Neto, Nilton Freixo Nagem, Antonio Jose da Silva, 2009, 2009 11th International Conference on Computer Modelling and Simulation.