Rui Alexandre Matos Araújo

    Name: Rui Alexandre Matos Araújo, Ph.D.
    Position: Associate Professor
    Website: http://home.isr.uc.pt/~rui/
    Office: 3A.9
    Internal Phone: 421352
    Email: rui@isr.uc.pt





    Supervisor of:
    Ricardo Machado Maia, Ph.D. Student
    Francisco Alexandre Andrade de Souza, External Collaborator
    Carlos Alberto Coêlho Belchior, Ph.D. Student
    Alireza Emami, Ph.D. Student
    João Pereira, Research Engineer
    Ofélio Jorreia, Ph.D. Student



    Journals

    Lucas Macedo da Silva, Symone G. S. Alcalá, Talles Marcelo G. de A. Barbosa, R. Araújo, Object and Defect Detection in Additive Manufacturing Using Deep Learning Algorithms, Production Engineering - Research and Development, Vol. 18, No. 6, pp. 889-902, Springer, 2024
    https://doi.org/10.1007/s11740-024-01278-y
    G. Gouveia, J. Alves, P. Sousa, R. Araújo, Jérôme Mendes, A Modular Industrial Hardware Control System for Smart Industries, Processes, Vol. 12, no. 6, pp. 1165, MDPI, Basel, Switzerland, 2024
    http://doi.org/10.3390/pr12061165
    A. Emami, R. Araújo, Sergio Cruz, A. Pedro Aguiar, Engineering Approach to Construct Robust Filter for Mismatched Nonlinear Dynamic Systems, International Journal of Robust and Nonlinear Control, Vol. 34, no. 18, pp. 12142-12166, Wiley, 2024
    http://doi.org/10.1002/rnc.7615
    A. Emami, R. Araújo, Sergio Cruz, Hazem Hadla, A. Pedro Aguiar, A Systematic Approach to Modeling Synchronous Generator Using Markov Parameters and Takagi-Sugeno Fuzzy Systems, Expert Systems with Applications, Vol. 235, pp. 121122, 2024
    https://doi.org/10.1016/j.eswa.2023.121122

    Books

    R. Araújo, Antonio Pedro Aguiar, Nuno Lau, Soft Computing, 2024
    http://doi.org/10.3390/books978-3-7258-1892-1

    Journals

    S. Rastegar, R. Araújo, Milad Malekzadeh, Alvaro Gomes, Humberto Jorge, A New NIALM System Design Based on Neural Network Architecture and Adaptive Springy Particle Swarm Optimization Algorithm, Energy Efficiency, Vol. 16, pp. 52, 2023
    http://doi.org/10.1007/s12053-023-10125-5

    Conferences

    Mafalda Amaro, Jérôme Mendes, Tiago Matias, R. Araújo, Adaptive Fuzzy Generalized Predictive Control of pH in Tubular Photobioreactors on Microalgae Plant, In Proc. of the 2nd IEEE Industrial Electronics Society Annual Online Conference (IESONCON 2023), 2023
    https://iesoncon2023.com/

    Journals

    Francisco Souza, C. Premebida, R. Araújo, High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection, Pattern Recognition, Vol. 131, pp. 108895, 2022

    Conferences

    R. Maia, Jérôme Mendes, R. Araújo, Electric vehicle physical parameters identification by evolutionary algorithms, In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1-6, Brussels, Belgium, 2022
    http://doi.org/10.1109/IECON49645.2022.9968543
    Rodrigo de O. Salles, Jérôme Mendes, R. Araújo, C. Melo, P. Moura, Prediction of key variables in wastewater treatment plants using machine learning models, In Proc. 2022 IEEE International Joint Conference on Neural Networks (IJCNN 2022), at 2022 IEEE World Congress on Computational Intelligence (WCCI 2022), pages 1-9, IEEE, Padova, Italy, 2022
    http://doi.org/10.1109/IJCNN55064.2022.9892661

    Journals

    Francisco Souza, Jérôme Mendes, R. Araújo, A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes, Applied Sciences, Vol. 11, no. 5, pp. 2040, MDPI, Basel, Switzerland, 2021
    https://doi.org/10.3390/app11052040

    Conferences

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, 19th IEEE International Conference on Industrial Informatics, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems (BEST PAPER AWARD), Palma, Spain, 2021
    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems, Proc. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), pp. 1-7, Palma de Mallorca, Spain, 2021
    https://doi.org/10.1109/INDIN45523.2021.9557354

    Journals

    R. Maia, Jérôme Mendes, R. Araújo, M. Silva, U. J. Nunes, Regenerative braking system modeling by fuzzy Q-learning, Engineering Applications of Artificial Intelligence, 93:103712, 2020
    http://doi.org/10.1016/j.engappai.2020.103712
    Jérôme Mendes, R. Araújo, Francisco Souza, Self-evolving fuzzy controller composed of univariate fuzzy control rules, Applied Sciences, Vol. 10, no. 17, pp. 5836, MDPI, Basel, Switzerland, 2020
    https://doi.org/10.3390/app10175836
    Alireza Emami, R. Araújo, Alireza Asvadi, Distributed simultaneous estimation of states and unknown inputs, Systems & Control Letters , Vol. 138, pp. 104660, Elsevier, 2020
    https://doi.org/10.1016/j.sysconle.2020.104660
    Josias Batista, Darielson Souza, Laurinda dos Reis, Antonio Barbosa, R. Araújo, Dynamic model and inverse kinematic identification of a 3-DOF manipulator using RLSPSO, Sensors, 20(2):416, Vol. 40, no. 2, pp. 416, 2020
    http://doi.org/10.3390/s20020416

    Journals

    Jérôme Mendes, Francisco Souza, R. Araújo, S. Rastegar, Neo-Fuzzy Neuron Learning Using Backfitting Algorithm, Neural Computing and Applications, Vol. 31, no. 8, pp. 3609-3618, Springer, 2019
    http://dx.doi.org/10.1007/s00521-017-3301-4

    Conferences

    André, Afonso C. Turcato, Guilherme S. Sestito, R. Araújo, Diagnóstico de Falhas em Redutores Mecânicos a Partir de Dados de Acelerômetros e Ferramentas de Aprendizagem de Máquinas, 4º Congresso de Pós-Graduação do Instituto Federal São Paulo (IFSP) (CONPOG 2019), no 10º Congresso de Inovação Ciência e Tecnologia (CONICT 2019), pp. 1-5, IFSP, Campus Sorocaba, Brasil, 2019
    Jérôme Mendes, Francisco Souza, R. Maia, R. Araújo, Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems, Proc. of the The IEEE 45th Annual Conference of the Industrial Electronics Society (IECON 2019), pp. 3657-3662, Lisbon, Portugal, 2019
    http://doi.org/10.1109/IECON.2019.8927224
    R. Araújo, Darielson A. Souza, Josias G. Batista, Laurinda L. N dos Reis, José, José, Antô, Identification by recursive least squares with rmo applied to a robotic manipulator, Proc. 2nd IEEE International Conference on Artificial Intelligence for Industries (AI4I 2019), Laguna Hills, California, USA, 2019
    Sudeep Sharan, Trung Quoc Nguyen, Peter Nauth, R. Araújo, Implementation and Testing of Voice Control in a Mobile Robot for Navigation, Proc. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2019), pp. 145-150, Hong Kong, China, 2019
    https://doi.org/10.1109/AIM.2019.8868892

    Journals

    Carlos Belchior, R. Araújo, Francisco Souza, J. Landeck, Sensor-Fault Tolerance in a Wastewater Treatment Plant by Means of ANFIS-Based Soft Sensor and Control Reconfiguration, Neural Computing and Applications, Vol. 30, No. 10, pp. 3265-3276, Springer, 2018
    http://dx.doi.org/10.1007/s00521-017-2901-3
    S. Rastegar, R. Araújo, J. Sadati, Robust Synergetic Control Design Under Input and State Constraints, International Journal of Control , Vol. 91, no. 3 , pp. 639-657, Taylor & Francis, Guimarães, Portugal, 2018
    http://dx.doi.org/10.1080/00207179.2017.1286692

    Conferences

    Carlos Belchior, R. Araújo, Jérôme Mendes, Alcidney Chaves, R. Maia, $H_infty$ Adaptive Fuzzy Control Approach Applied to Antilock-Braking Systems Over a CAN Network, Proc. 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018), pp. 910-917, Torino, Italy, 2018
    http://doi.org/10.1109/ETFA.2018.8502668
    Alcidney Chaves, R. Maia, Carlos Belchior, R. Araújo, G. Gouveia, KhronoSim: A Platform for Complex Systems Simulation and Testing, Proc. 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018), pp. 131-138, Torino, Italy, 2018
    http://doi.org/10.1109/ETFA.2018.8502602
    R. Pereira, R. Araújo, Jérôme Mendes, R. Maia, G. Gouveia, Sun-Synchronous Satellite Simulation on KhronoSim, the New System Testing Architecture (Received the Best Paper Award of the conference), Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pp. 61-66, Banda Aceh, Indonesia, 2018
    http://doi.org/10.1109/ICELTICS.2018.8548850
    Jérôme Mendes, R. Maia, R. Araújo, G. Gouveia, Evolving Fuzzy Controller, and Application to a Distributed Two-Tank Process, Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pp. 55-60, Banda Aceh, Indonesia, 2018
    http://doi.org/10.1109/ICELTICS.2018.8548831
    Jérôme Mendes, R. Maia, R. Araújo, G. Gouveia, Intelligent Controller for Industrial Processes Applied to a Distributed Two-Tank System, Proc. 1st IEEE International Conference on Artificial Intelligence for Industries (AI4I 2018), pp. 39-43, Laguna Hills, California, USA, 2018
    Francisco Souza, R. Araújo, Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process, Proc. IEEE 16th International Conference on Industrial Informatics (INDIN 2018), pp. 939-944, Porto, Portugal, 2018
    https://doi.org/10.1109/INDIN.2018.8472056
    Jérôme Mendes, A. Craveiro, R. Araújo, Iterative design of a mamdani fuzzy controller, In Proc. of the The 13th APCA/IEEE International Conference on Automatic Control and Soft Computing (CONTROLO 2018), pages 85-90, Ponta Delgada, Azores, Portugal, 2018
    http://doi.org/10.1109/CONTROLO.2018.8516415

    Journals

    Jérôme Mendes, L. Osorio, R. Araújo, Self-Tuning PID Controllers in Pursuit of Plug and Play Capacity, Control Engineering Practice, Vol. 69, pp. 73-84, Elsevier, 2017
    http://dx.doi.org/10.1016/j.conengprac.2017.09.006
    S. Rastegar, R. Araújo, Jérôme Mendes, Online Identification of Takagi-Sugeno Fuzzy Models Based on Self-Adaptive Hierarchical Particle Swarm Optimization Algorithm", Applied Mathematical Modelling, Applied Mathematical Modelling , Vol. 45, pp. 606-620, Elsevier, 2017
    http://dx.doi.org/10.1016/j.apm.2017.01.019
    S. Rastegar, R. Araújo, J. Sadati, Jérôme Mendes, A Novel Robust Control Scheme for LTV Systems Using Output Integral Discrete-Time Synergetic Control Theory, European Journal of Control , Vol. 34, pp. 39-48, Elsevier, 2017
    http://dx.doi.org/10.1016/j.ejcon.2016.12.006

    Conferences

    Jérôme Mendes, Francisco Souza, R. Araújo, Online Evolving Fuzzy Control Design: An Application to a CSTR Plant, Proc. IEEE 15th International Conference on Industrial Informatics (INDIN 2017), pp. 218-225, Emden, Germany, 2017
    https://doi.org/10.1109/INDIN.2017.8104774
    Vasco Ferreira, Francisco Souza, R. Araújo, Semi-Supervised Soft Sensor and Feature Ranking Based on Co-Regularised Least Squares Regression Applied to a Polymerization Batch Process, Proc. IEEE 15th International Conference on Industrial Informatics (INDIN 2017), pp. 257-262, Emden, Germany, 2017
    https://doi.org/10.1109/INDIN.2017.8104781

    Journals

    S. Rastegar, R. Araújo, Jérôme Mendes, A New Approach for Online T-S Fuzzy Identification and Model Predictive Control of Nonlinear Systems, Journal of Vibration and Control , Vol. 22, no. 7, pp. 1820-1837, Sage, 2016
    http://dx.doi.org/10.1177/1077546314544894
    Francisco Souza, R. Araújo, Jérôme Mendes, Review of soft sensors methods for regression applications, Chemometrics and Intelligent Laboratory Systems, Vol. 152, pp. 69-79, Elsevier, 2016
    http://dx.doi.org/10.1016/j.chemolab.2015.12.011
    S. Gomes Soares, R. Araújo, An Adaptive Ensemble of On-line Extreme Learning Machines with Variable Forgetting Factor for Dynamic System Prediction, Neurocomputing, Vol. 171, pp. 693-707, Elsevier, 2016
    http://dx.doi.org/10.1016/j.neucom.2015.07.035

    Book Sections

    S. Rastegar, R. Araújo, A. Emami, A. Iratni, In: Paulo Garrido, Filomena Soares and António Paulo Moreira (Eds.), 'CONTROLO 2016 - Proceedings of the 12th Portuguese Conference on Automatic Control, , A New Robust Control Scheme For LTV Systems Using Output Integral Discrete Synergetic Control Theory, Paulo Garrido, Filomena Soares and António Paulo Moreira (Eds.), Vol. 402, pp. 117-127, Springer, Guimarães, Portugal, 2016
    http://dx.doi.org/10.1007/978-3-319-43671-5_11
    A. Iratni, R. Araújo, S. Rastegar, M. Mostefai, Sensorless Nonlinear Control of Fed-batch Escherichia Coli Cultivation Bioprocess Using the State-Dependent Approach, In: Paulo Garrido, Filomena Soares and António Paulo Moreira (Eds.), 'CONTROLO 2016 - Proceedings of the 12th Portuguese Conference on Automatic Control', Guimarães, Portugal, Vol. 402, pp. 299-310, Springer, Cham, Switzerland, 2016
    http://dx.doi.org/10.1007/978-3-319-43671-5_26

    Conferences

    A. R. de Miranda, T. M. G. A. Barbosa, R. Araújo, S. Alcalá, An On-line Extreme Learning Machine with Adaptive Architecture for Soft Sensor Design, Proc. of the The IEEE Sensors 2016 (SENSORS 2016), Orlando, FL, USA, 2016
    http://dx.doi.org/10.1109/ICSENS.2016.7808721

    Journals

    R. Maia, M. Silva, R. Araújo, U. J. Nunes, "Electrical Vehicle Modeling: A Fuzzy Logic Lodel for Regenerative Braking", Expert Systems with Applications, Vol. 42 , No. 22, pp. 8504-8519, Elsevier, 2015
    http://dx.doi.org/10.1016/j.eswa.2015.07.006
    L. Silva Gomes, Francisco Souza, R. S. T. Pontes, T. Fernandes Neto, R. Araújo, Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models, International Journal of Computational Intelligence and Applications, Vol. 14, No. 03, pp. 550013--1--1550013--18, Imperial College Press, 2015
    http://dx.doi.org/10.1142/S1469026815500133
    S. Gomes Soares, R. Araújo, A Dynamic and On-line Ensemble Regression for Changing Environments, Expert Systems with Applications, Vol. 42, No. 6, pp. 2935-2948, Elsevier, 2015
    http://dx.doi.org/10.1016/j.eswa.2014.11.053
    T. Ferreira Matias, Francisco Souza, R. Araújo, N. Gonçalves, Sequential Extreme Learning Machine Based on Recursive Partial Least Squares, Journal of Process Control, Vol. 27, pp. 15-21, 2015
    http://dx.doi.org/10.1016/j.jprocont.2015.01.004
    S. Gomes Soares, R. Araújo, An On-line Weighted Ensemble of Regressor Models to Handle Concept Drifts, Engineering Applications of Artificial Intelligence , Vol. 37, pp. 392-406, Elsevier, 2015
    http://dx.doi.org/10.1016/j.engappai.2014.10.003

    Journals

    Francisco Souza, R. Araújo, Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors, IEEE Transactions on Industrial Informatics, Vol. 10, No. 2 , pp. 937-945, 2014
    http://dx.doi.org/10.1109/TII.2013.2283147
    WOS:000336669800009
    Francisco Souza, R. Araújo, Mixture of Partial Least Squares Experts and Application in Prediction Settings with Multiple Operating Modes, Chemometrics and Intelligent Laboratory Systems , Vol. 130, pp. 192-202, Elsevier, 2014
    http://dx.doi.org/10.1016/j.chemolab.2013.11.006
    WOS:000330914900024
    O. Ludwig, U. J. Nunes, R. Araújo, Eigenvalue Decay: a New Method for Neural Network Regularization, Neurocomputing, Vol. 124, pp. 33-42, Elsevier, 2014
    http://dx.doi.org/10.1016/j.neucom.2013.08.005
    WOS:000326853600005
    T. Ferreira Matias, Francisco Souza, R. Araújo, C. Henggler, Learning of a Single-hidden Layer Feedforward Neural Network using an Optimized Extreme Learning Machine, Neurocomputing, Vol. 129, pp. 428-436, Elsevier, 2014
    http://dx.doi.org/10.1016/j.neucom.2013.09.016
    WOS:000332132400047
    S. Gomes Soares, R. Araújo, Semantic Place Labeling Using a Probabilistic Decision List of AdaBoost Classifiers, International Journal of Computer Information Systems and Industrial Management Applications (IJCISIMA), Vol. 6 , ISSN: 2150-7988, pp. 548-559, Machine Intelligence Research Labs MIRLABS, 2014
    http://www.mirlabs.net/ijcisim/regular_papers_2014/IJCISIM_51.pdf
    Jérôme Mendes, R. Araújo, T. Ferreira Matias, R. Seco, Carlos Belchior, Automatic Extraction of the Fuzzy Control System by a Hierarchical Genetic Algorithm, Engineering Applications of Artificial Intelligence , Vol. 29, pp. 70-78, Elsevier, 2014
    http://dx.doi.org/10.1016/j.engappai.2013.12.012
    WOS:000332811300006

    Conferences

    S. Rastegar, R. Araújo, Jérôme Mendes, T. Ferreira Matias, A. Emami, Self-adaptive Takagi-Sugeno Model Identification Methodology For Industrial Control Processes, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 281-287, Dallas, TX, USA, 2014
    Jérôme Mendes, R. Araújo, T. Ferreira Matias, R. Seco, Carlos Belchior, Evolutionary Learning of a Fuzzy Controller for Industrial Processes, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 139-145, Dallas, TX, USA, 2014
    T. Ferreira Matias, Francisco Souza, R. Araújo, S. Rastegar, Jérôme Mendes, Adaptive Identification and Predictive Control Using an Improved On-Line Sequential Extreme, In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 58-64, Dallas, TX, USA, 2014

    Journals

    S. Gomes Soares, C. Henggler, R. Araújo, Comparison of a Genetic Algorithm and Simulated Annealing for Automatic Neural Network Ensemble Development, Neurocomputing, Vol. 121, pp. 498-511, Elsevier, 2013
    http://dx.doi.org/10.1016/j.neucom.2013.05.024
    WOS:000325303800049
    Jérôme Mendes, R. Araújo, Francisco Souza, Adaptive Fuzzy Identification and Predictive Control for Industrial Processes, Expert Systems with Applications, Vol. 40, No. 17, pp. 6964-6975, Elsevier, 2013
    http://dx.doi.org/10.1016/j.eswa.2013.06.057
    WOS:000326214700031
    Francisco Souza, R. Araújo, T. Ferreira Matias, Jérôme Mendes, A Method of Variable Selection Using Neural Networks for Soft Sensors Applications, Journal of Process Control, Vol. 23, No. 10, pp. 1371-1378, Elsevier, 2013
    http://dx.doi.org/10.1016/j.jprocont.2013.09.014
    WOS:000328721400005
    Francisco Souza, R. Araújo, T. Ferreira Matias, Jérôme Mendes, A Multilayer-Perceptron Based Method for Variable Selection in Soft Sensor Design, Journal of Process Control, Vol. 23, No. 10, pp. 1371-1378, Elsevier, 2013
    http://dx.doi.org/10.1016/j.jprocont.2013.09.014
    WOS:000328721400005
    S. Rastegar, R. Araújo, A Robust Algorithm for a Class of Optimal Control Problems Subject to Regional Stability Constraints and Disturbances, Measurement: Journal of the International Measurement Confederation (IMEKO), Vol. 46, No. 6, pp. 1773-1780, Elsevier, 2013
    http://dx.doi.org/10.1016/j.measurement.2013.02.010
    WOS:000319369800001

    Conferences

    Francisco Souza, R. Araújo, A. Júnior, R. S. T. Pontes, Mixture of Partial Least Squares Regression Experts Applied To a Polymerization Batch Process, Proc. XI SBAI Simpósio Brasileiro de Automação Inteligente (SBAI 2013), Fortaleza, CE, Brasil, 2013
    D. Gabriel, T. Ferreira Matias, J. Costa Pereira, R. Araújo, Predicting Gas Emissions in a Cement Kiln Plant using Hard and Soft Modeling Strategies, Proc. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, 2013
    http://dx.doi.org/10.1109/ETFA.2013.6648036
    T. Ferreira Matias, D. Gabriel, Francisco Souza, R. Araújo, J. Costa Pereira, Fault Detection and Replacement of a Temperature Sensor in a Cement Rotary Kiln, Proc. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, 2013
    http://dx.doi.org/10.1109/ETFA.2013.6648038
    L. Osório, Jérôme Mendes, R. Araújo, T. Ferreira Matias, A Comparison of Adaptive PID Methodologies Controlling a DC Motor With a Varying Load", Proc.18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, 2013
    http://dx.doi.org/10.1109/ETFA.2013.6648093
    T. Ferreira Matias, R. Araújo, C. Henggler, D. Gabriel, Genetically Optimized Extreme Learning Machine, Proc. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliary, Italy, 2013
    http://dx.doi.org/10.1109/ETFA.2013.6647975
    M. Danishvar, A. Mousavi, P. Sousa, R. Araújo, Event-Clustering for Real-Time Data Modeling, Proc. 9th Annual IEEE International Conference on Automation Science and Engineering (CASE 2013), pp. 362-367, Madison, WI, USA, 2013
    http://dx.doi.org/10.1109/CoASE.2013.6653911

    Journals

    Jérôme Mendes, Francisco Souza, R. Araújo, N. Gonçalves, Genetic fuzzy system for data-driven soft sensors design, Applied Soft Computing, vol.12, n.10, pp.3237-3245, Elsevier Science, 2012
    http://dx.doi.org/10.1016/j.asoc.2012.05.009
    WOS:000307122200011
    Carlos Belchior, R. Araújo, J. Landeck, Dissolved Oxygen Control of the Activated Sludge Wastewater Treatment Process Using Stable Adaptive Fuzzy Control, Computers Chemical Engineering: An International Journal of Computer Applications in Chemical Engineering, vol.37, pp.152-162, Elsevier Science, 2012
    http://dx.doi.org/10.1016/j.compchemeng.2011.09.011
    WOS:000300812600015

    Conferences

    Jérôme Mendes, R. Araújo, Fuzzy Model Predictive Control for Nonlinear Processes, Proc. 17th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489611
    WOS:000320333400080
    Jérôme Mendes, S. Pinto, R. Araújo, Francisco Souza, Evolutionary Fuzzy Models for Nonlinear Identification, Proc. 17th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489621
    WOS:000320333400090
    Francisco Souza, R. Araújo, Adaptive Feature Selection and Model Learning for Adaptive Soft Sensors using Recursive Least Squares, Proc. 17th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489623
    WOS:000320333400092
    Francisco Souza, R. Araújo, An Online Variable Selection Method using Recursive Least Squares, Proc. 17th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, 2012
    http://dx.doi.org/10.1109/ETFA.2012.6489623
    WOS:000320333400092
    S. Gomes Soares, C. H. Antunes, R. Araújo, A Genetic Algorithm for Designing Neural Network Ensembles, Proc. Genetic and Evolutionary Computation Conference (GECCO 2012), a recombination of the 21st International Conference on Genetic Algorithms (ICGA), and the 17th Annual Genetic Programming Conference (GP), pp.681-688, Philadelphia, USA, 2012
    http://dx.doi.org/10.1145/2330163.2330259
    WOS:000309611100086

    Journals

    Jérôme Mendes, R. Araújo, P. Sousa, F. Apóstolo, L. Alves, An Architecture for Adaptive Fuzzy Control in Industrial Environments, Computers in Industry, vol.62, n.3, pp.364-373, Elsevier Science, 2011
    http://dx.doi.org/10.1016/j.compind.2010.11.001
    WOS:000289183900013
    S. Gomes Soares, A. F. Rocha, R. Araújo, T. M. G. A. Barbosa, Building Distributed Soft Sensors, International Journal of Computer Information Systems and Industrial Management Applications (IJCISIMA), vol.3, pp.202-209, Machine Intelligence Research Labs MIRLABS, 2011
    http://www.mirlabs.net/ijcisim/regular_papers_2011/Paper24.pdf

    Conferences

    O. Ludwig, C. Premebida, U. J. Nunes, R. Araújo, Evaluation of Boosting-SVM and SRM-SVM Cascade Classifiers in Laser and Vision-based Pedestrian, Proc. 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011), Washington DC, USA, 2011
    http://dx.doi.org/10.1109/ITSC.2011.6082909
    WOS:000298654700258
    Jérôme Mendes, R. Araújo, Stable Indirect Adaptive Predictive Fuzzy Control for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059067
    WOS:000297542900090
    Jérôme Mendes, R. Seco, R. Araújo, Automatic Extraction of the Fuzzy Control System for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059063
    WOS:000297542900086
    Jérôme Mendes, N. Sousa, R. Araújo, Adaptive Predictive Control With Recurrent Fuzzy Neural Network for Industrial Processes, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059066
    WOS:000297542900089
    Francisco Souza, R. Araújo, Variable and Time-Lag Selection using Empirical Data, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059083
    WOS:000297542900104
    Francisco Souza, T. Ferreira Matias, R. Araújo, Co-evolutionary Genetic Multilayer Perceptron for Variable Selection and Model Design, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059084
    WOS:000297542900105
    S. Gomes Soares, R. Araújo, P. Sousa, Francisco Souza, Design and Application of Soft Sensor Using Ensemble Methods, Proc. 16th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, France, 2011
    http://dx.doi.org/10.1109/ETFA.2011.6059061
    WOS:000297542900084
    R. Maia, M. Silva, R. Araújo, U. J. Nunes, Electric Vehicle Simulator for Energy Consumption Studies in Electrical Mobility Systems, Proc. IEEE Forum on Integrated and Sustainable Transportation System (FISTS 2011), pp.228-233, Vienna, Austria, 2011
    http://dx.doi.org/10.1109/FISTS.2011.5973655

    Books

    A. de Almeida, C. Patrão, P. Fonseca, R. Araújo, U. J. Nunes, SELINA - Standby and Off-Mode Energy Losses , ISBN: 978-972-8822-21-7, 2010

    Conferences

    Jérôme Mendes, R. Araújo, Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model for Industrial Processes, National Science and Technology Week, Faculty of Sciences and Technology, University of Coimbra, 2010
    S. Gomes Soares, R. Araújo, Design and Application of Soft Sensor in Industrial Processes Using Small Datasets, National Science and Technology Week, University of Coimbra, Faculty of Sciences and Technology, University of Coimbra, 2010
    Jérôme Mendes, R. Araújo, Francisco Souza, Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model, Proc. 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, Spain, 2010
    http://dx.doi.org/10.1109/ETFA.2010.5641301
    WOS:000313616400176
    Francisco Souza, R. Araújo, Variable and Delay Selection Using Neural Networks and Mutual Information for Data-Driven Soft Sensors, Proc. 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, Spain, 2010
    http://dx.doi.org/10.1109/ETFA.2010.5641329
    WOS:000313616400202
    Carlos Belchior, R. Araújo, J. Landeck, Adaptive Fuzzy Control of the Dissolved Oxygen Concentration in an Activated Sludge Process, Proc. 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), 2010
    http://dx.doi.org/10.1109/ETFA.2010.5641311
    WOS:000313616400185
    Jérôme Mendes, R. Araújo, Adaptive Fuzzy Model-Based Predictive Control: a Lyapunov Approach, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, Portugal, 2010
    Jérôme Mendes, R. Araújo, P. Sousa, F. Apóstolo, L. Alves, Fuzzy Control Architecture for Industrial Systems, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), , Coimbra, Portugal, 2010
    Francisco Souza, R. Araújo, S. Gomes Soares, Jérôme Mendes, Variable Selection Based on Mutual Information for Soft Sensors Applications, Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), , Coimbra, Portugal, 2010
    S. Gomes Soares, A. F. Rocha, T. M. G. A. Barbosa, R. Araújo, Embedding a Neural Network into WSN Furniture, Proc. 10th IEEE International Conference on Hybrid Systems (HIS 2010), pp. 219-222, Atlanta, USA, 2010
    http://dx.doi.org/10.1109/HIS.2010.5600016

    Journals

    O. Ludwig, U. J. Nunes, R. Araújo, L. Schnitman, H. Lepikson, Applications of Information Theory, Genetic Agorithms, and Neural Models to Predict Oil Flow, Communications in Nonlinear Science and Numerical Simulation, Vol. 14, No. 7 , pp. 2870-2885, Elsevier, 2009
    http://dx.doi.org/10.1016/j.cnsns.2008.12.011
    WOS:000264147400005

    Conferences

    R. Cortesão, B. Zenowich, R. Araújo, W. Townsend, Robotic Comanipulation with Active Impedance Control, Proc. ASME/AFM 2009 World Conference on Innovative Virtual Reality (WINVR 2009), p. 1-7, Chalon-sur-Saône, France, 2009
    http://dx.doi.org/10.1115/WINVR2009-724
    WOS:000268025800017

    Book Sections

    R. Araújo, U. J. Nunes, L. Oliveira, P. Sousa, P. Peixoto, Support Vector Machines and Features for Environment Perception in Mobile Robotics, 'Computational Intelligence Paradigms: Innovative Applications', Studies in Computational Intelligence, Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake , Vol. SCI 137, pp. 219-250, Heidelberg, Germany, 2008
    http://dx.doi.org/10.1007/978-3-540-79474-5_11
    http://dx.doi.org/10.1007/978-3-540-79474-5_11

    Conferences

    O. Ludwig, U. J. Nunes, R. Araújo, Comparison Study of Redundant Sensor Fusion in Autonomous Vehicle Navigation, in proceedings of the CONTROLO 2008 Conference, 8th Portuguese Conference on Automatic Control, pp. 719-725, Vila Real, Portugal, 2008
    O. Ludwig, U. J. Nunes, R. Araújo, L. Schnitman, H. Lepikson, Applications of Entropy and Neural Models to Predict Oil Flow, Proc. 2nd Conference on Nonlinear Science and Complexity (NSC 2008), pp. 1-13, Porto, Portugal, 2008
    J. Almeida, R. Araújo, Tracking Multiple Moving Objects in a Dynamic Environment for Autonomous Navigation, Proc. 10th IEEE Int. Workshop on Advanced Motion Control (AMC 2008), pp. 21-26, Trento, Italy, 2008
    http://dx.doi.org/10.1109/AMC.2008.4516035
    WOS:000256389700004

    Conferences

    P. Sousa, R. Araújo, U. J. Nunes, L. Alves, A. Barata Pires Lopes, Real-Time Architecture for Mobile Assistant Robots, Proc.12th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2007), pp. 965-972, Patras, Greece, 2007
    http://dx.doi.org/10.1109/ETFA.2007.4416888
    WOS:000254117100143
    P. Sousa, R. Araújo, U. J. Nunes, Real-Time Labeling of Places Using Support Vector Machines, Proc. IEEE International Symposium on Industrial Electronics (ISIE 2007), pp. 2022-2027, Vigo, Spain, 2007
    http://dx.doi.org/10.1109/ISIE.2007.4374918
    WOS:000252265104050

    Conferences

    A. Surrécio, U. J. Nunes, R. Araújo, Fusion of Odometry with Magnetic Sensors Using Kalman Filters and Augmented System Models for Mobile Robot Navigation, in IEEE Int. Symposium on Industrial Electronics (ISIE2005), Dubrovnik, Croatia, 2005

    Journals

    U. J. Nunes, J. A. Fonseca, L. Almeida, R. Araújo, R. T. Maia, Using Distributed Systems in Real-Time Control of Autonomous Vehicles, in Robotica, vol.21, pp.271-281, University Cambridge Press, 2003

    Journals

    R. Araújo, U. J. Nunes, Adaptive-Resolution Map Building Approach for Robot Navigation in Dynamic Environments, in Machine Intelligence & Robotic Control, vol.4, n.2, pp.61-70, Cyber Scientific, 2002

    Journals

    U. J. Nunes, R. Araújo, L. Marques, Towards Intelligent Machines: Theory, Technology, and Experiments, in Int. Journal of Systems Analysis Modelling and Simulation, vol.38, pp.157-173, Gordon and Breach Science Publishers, 2000

    Conferences

    R. Araújo, U. J. Nunes, L. Marques, Toward Intelligent Machines: Theories, Technologies and Experiments, Third European Robotics, Intelligent Systems & Control Conference (EURISCON'98), pp. 27, Athens, Greece, 1998

    Journals

    R. Araújo, U. J. Nunes, A. de Almeida, 3-D Surface-Tracking with a Robotic Manipulator, Int. Journal of Intelligent & Robotic Systems, n.15, pp.401-417, Kluwer Academic Publishers, 1996

    Ph.D. Thesis

    Francisco Alexandre Andrade de Souza, Development of Adaptive Soft Sensors Methodologies From Partially Labeled Data for Non-Stationary Industrial Processes (1/2019) Supervised by Rui Alexandre Matos Araújo

    Saeid Rastegar, Multi Parametric Intelligent Identification and Robust Control Methodologies For Industrial Processes (11/2017) Supervised by Rui Alexandre Matos Araújo

    Symone Gomes Soares, Ensemble Learning Methodologies for Soft Sensor Development in Industrial Processes (11/2015) Supervised by Rui Alexandre Matos Araújo

    Jérôme Mendes, Computational Intelligence Methodologies for Control of Industrial Processes (10/2014) Supervised by Rui Alexandre Matos Araújo

    Francisco Alexandre Andrade de Souza, Computational Intelligence Methodologies for Soft Sensors Development in Industrial Processes (9/2014) Supervised by Rui Alexandre Matos Araújo

    Oswaldo Ludwig, Study on Non-Parametric Methods for Fast Pattern Recognition with Emphasis on Neural Networks and Cascade Classifiers (3/2012) Supervised by Rui Alexandre Matos Araújo and Urbano J. Nunes

    M.Sc. Thesis

    João Martins de Sousa, Calibration of Two-Dimensional Wildfire Propagation Model Using Metaheuristic Algorithms (1/2023) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo

    Gonçalo Paiva Gouveia, A Modular Architecture with Local Processing Methodologies for Industrial Cyber-Physical Systems (1/2023) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo

    Tomás Pedrosa, Computational Intelligence Techniques for Developing Virtual Sensors in Industrial Processes (4/2022) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo

    João Freitas, Aprendizagem Evolutiva de Controladores Difusos (5/2018) Supervised by Rui Alexandre Matos Araújo

    Vasco Ferreira, Semi-Supervised Learning and Feature Ranking/Selection Techniques Applied to Soft Sensor Modeling (10/2017) Supervised by Rui Alexandre Matos Araújo

    Carlos Fernandes, Algoritmo do Tipo Filter-Wrapper de Seleção de Features para Utilização na Seleção de Genes” (in Portuguese) (10/2017) Supervised by Rui Alexandre Matos Araújo

    Hugo Costa Neves Pais de Faria, Implementation of an HDMI Protocol Analyzer”, MSc Thesis, Master Degree in Electrical and Computer Engineering (9/2017) Supervised by Rui Alexandre Matos Araújo

    António Craveiro, Iterative Fuzzy Design for Identification and Control (9/2017) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo

    Jóni Micael Jordão Cordeiro Neto, Leitor de Cartão do Cidadão com Interface USB (11/2016) Supervised by Rui Alexandre Matos Araújo

    Nuno Miguel Santos de Sousa, Controlo Difuso Predictivo para Aplicação em Processos Industriais (11/2016) Supervised by Jérôme Mendes and Rui Alexandre Matos Araújo

    Nuno Miguel Santos de Sousa, Fuzzy Predictive Control for Application in Industrial Processes (10/2016) Supervised by Rui Alexandre Matos Araújo

    Paulo Rui Pereira Susana, Soft Sensors Using Online Learning for Industrial Processes (10/2015) Supervised by Rui Alexandre Matos Araújo

    Aníbal Traça de Almeida, Using self-expandable metallic stents as electrodes for radiofrequency ablation (RF) in tubular organs: ex vivo experimental preliminary research (1/2013) Supervised by Francisco Alexandre Andrade de Souza and Rui Alexandre Matos Araújo

    B. Gonçalves, Using self-expandable metallic stents as electrodes for radiofrequency ablation (RF) in tubular organs: ex vivo experimental preliminary research (1/2013) Supervised by Francisco Alexandre Andrade de Souza and Rui Alexandre Matos Araújo

    Luís Daniel de Andrade Simões C Vaz, Desenvolvimento de módulos de software numa arquitectura de tempo real para robots móveis e veículos inteligentes (7/2008) Supervised by Rui Alexandre Matos Araújo and Urbano J. Nunes