Jerome Mendes
Jerome Mendes
PhD researcher at Institute of Systems and Robotics - University of Coimbra
Email confirmado em isr.uc.pt - Página inicial
TítuloCitado porAno
Review of Soft Sensors Methods for Regression Applications
F Souza, R Araújo, J Mendes
Chemometrics and Intelligent Laboratory Systems 152, 69–79, 2016
692016
Adaptive fuzzy identification and predictive control for industrial processes
J Mendes, R Araújo, F Souza
Expert Systems with Applications 40 (17), 6964-6975, 2013
512013
Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm
J Mendes, R Araújo, T Matias, R Seco, C Belchior
Engineering Applications of Artificial Intelligence 29, 70-78, 2014
312014
Genetic fuzzy system for data-driven soft sensors design
J Mendes, F Souza, R Araújo, N Gonçalves
Applied Soft Computing 12 (10), 3237-3245, 2012
312012
An architecture for adaptive fuzzy control in industrial environments
J Mendes, R Araújo, P Sousa, F Apóstolo, L Alves
Computers in Industry 62 (3), 364-373, 2011
272011
A multilayer-perceptron based method for variable selection in soft sensor design
FAA Souza, R Araújo, T Matias, J Mendes
Journal of Process Control 23 (10), 1371-1378, 2013
212013
Adaptive fuzzy generalized predictive control based on Discrete-Time TS fuzzy model
J Mendes, R Araújo, F Souza
2010 IEEE 15th Conference on Emerging Technologies & Factory Automation …, 2010
152010
Online identification of Takagi–Sugeno fuzzy models based on self-adaptive hierarchical particle swarm optimization algorithm
S Rastegar, R Araújo, J Mendes
Applied Mathematical Modelling 45, 606-620, 2017
132017
A new approach for online TS fuzzy identification and model predictive control of nonlinear systems
S Rastegar, R Araújo, J Mendes
Journal of Vibration and Control 22 (7), 1820-1837, 2016
112016
Self-tuning PID controllers in pursuit of plug and play capacity
J Mendes, L Osório, R Araújo
Control Engineering Practice 69, 73-84, 2017
82017
Fuzzy model predictive control for nonlinear processes
J Menées, R Araújo
Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012
82012
Automatic extraction of the fuzzy control system for industrial processes
J Mendes, R Seco, R Araújo
ETFA2011, 1-8, 2011
82011
A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory
S Rastegar, R Araujo, J Sadati, J Mendes
European Journal of Control 34, 39-48, 2017
62017
Evolutionary learning of a fuzzy controller for industrial processes
J Mendes, R Araújo, T Matias, R Seco, C Belchior
IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014
62014
A comparison of adaptive PID methodologies controlling a DC motor with a varying load
L Osório, J Mendes, R Araújo, T Matias
2013 IEEE 18th Conference on Emerging Technologies & Factory Automation …, 2013
62013
Adaptive predictive control with recurrent fuzzy neural network for industrial processes
J Mendes, N Sousa, R Araújo
ETFA2011, 1-8, 2011
52011
Online evolving fuzzy control design: An application to a CSTR plant
J Mendes, F Souza, R Araújo
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
42017
Variable selection based on mutual information for soft sensors applications
F Souza, R Araújo, S Soares, J Mendes
9 th Portuguese Conference on Automatic Control, Coimbra, 2010
42010
Neo-fuzzy neuron learning using backfitting algorithm
J Mendes, F Souza, R Araújo, S Rastegar
Neural Computing and Applications 31 (8), 3609-3618, 2019
22019
Computational Intelligence Methodologies for Control of Industrial Processes
JAP Mendes
22014
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