Kaddour Najim

István Selek

Comput. Chem. Eng., 2016

MacPherson suspension system modeling and control with MDP.

[BibT_eX]

[DOI]

Alfonso García-Cerezo

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2011

Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks.

[BibT_eX]

[DOI]

J. Carlos Luna-Sanchez

Eduardo Gómez-Ramírez

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009

Multiple Model-Based Control Using Finite Controlled Markov Chains.

[BibT_eX]

[DOI]

Cogn. Comput., 2009

2008

Online optimization of replacement policies using learning automata.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2008

2007

Forecasting time series with a new architecture for polynomial artificial neural network.

[BibT_eX]

[DOI]

Eduardo Gómez-Ramírez

Appl. Soft Comput., 2007

2006

Open-loop regulation and tracking control based on a genealogical decision tree.

[BibT_eX]

[DOI]

Pierre Del Moral

Neural Comput. Appl., 2006

2004

Optimization based on a team of automata with binary outputs.

[BibT_eX]

[DOI]

Autom., 2004

2003

Improved version of the McMurtry-Fu reinforcement learning scheme.

[BibT_eX]

[DOI]

Pierre Del Moral

Int. J. Syst. Sci., 2003

2002

Learning through reinforcement for N-person repeated constrained games.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2002

Noncooperative constrained finite games: alternate linear programming approach.

[BibT_eX]

[DOI]

Martin Godoy-Alcantar

E. Gomez Ramrez

Alex Poznyak

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001

Bush-Mosteller learning for a zero-sum repeated game with random pay-offs.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2001

Adaptive policy for two finite Markov chains zero-sum stochastic game with unknown transition matrices and average payoffs.

[BibT_eX]

[DOI]

Eduardo Gómez

Autom., 2001

2000

Adaptive zero-sum stochastic game for two finite Markov chains.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Distributed logic processors trained under constraints using stochastic approximation techniques.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 1999

Adaptive control of constrained finite Markov chains.

[BibT_eX]

[DOI]

Autom., 1999

Identification of Wiener systems with steady-state non-linearities.

[BibT_eX]

[DOI]

Proceedings of the 5th European Control Conference, 1999

1997

On nonlinear reinforcement schemes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 1997

Constrained long-range predictive control based on artificial neural networks.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 1997

1996

Multimodal searching technique based on learning automata with continuous input and changing number of actions.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1996

Generalized Predictive Control Based on Neural Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 1996

Adaptive selection of the optimal order of linear regression models using learning automata.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 1996

Analysis of the behaviour of multilevel hierarchical systems of learning automata and their application for multimodal functions optimization.

[BibT_eX]

[DOI]

Mohamed Chtourou

Int. J. Syst. Sci., 1996

Learning automata with continuous inputs and their application for multimodal functions optimization.

[BibT_eX]

[DOI]

Mohamed Chtourou

Int. J. Syst. Sci., 1996

Learning automata with continuous input and changing number of actions.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 1996

Calculation of residence time for nonlinear systems.

[BibT_eX]

[DOI]