Publications


Journal Papers

[20]. José Eduardo Tafula, Constantino Dário Justo, Pedro Moura, Jérôme Mendes and Ana Soares. Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique. Energies, 16(6):2894, 2023. [doi]

[19]. Bárbara de Matos, Rodrigo Salles, Jérôme Mendes, Joana R. Gouveia, António J. Baptista and Pedro Moura. A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs. Mathematics, 11(1):173, 2023. [doi]

[18]. Manuel Gonçalves, Pedro Sousa, Jérôme Mendes, Morad Danishvar, and Alireza Mousa. Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems. IEEE Access, May 2022. [doi]

[17]. Luís Laím, Jérôme Mendes, Hélder D. Craveiro, Aldina Santiago, and Carlos Melo. Structural optimization of closed built-up cold-formed steel columns. Journal of Constructional Steel Research, June 2022. [doi]

[16]. Jorge S. S. Júnior, João Ruivo Paulo, Jérôme Mendes, Daniela Alves, Luís Mário Ribeiro, and Carlos Viegas. Automatic Forest Fire Danger Rating Calibration: Exploring Clustering Techniques For Regionally Customizable Fire Danger Classification. Expert Systems With Applications, 193:116380, May 2022. [doi]

[15]. Jorge Pereira, Jérôme Mendes, Jorge S. S. Júnior, Carlos Viegas, and João Ruivo Paulo. A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration. Mathematics, 10(3), 300, January 2022. [doi]

[14]. Francisco Souza, Jérôme Mendes, and Rui Araújo. A regularized mixture of linear experts for quality prediction in multimode and multiphase industrial processes. Applied Sciences, 11(5):2040, February 2021. [doi]

[13]. Jérôme Mendes, Ricardo Maia, Rui Araújo, and Francisco A. A. Souza. Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules. Applied Science, 10(17):5836, August 2020. [doi]

SOFTWARE: uSelf-FLC Toolbox

[12]. Ricardo Maia, Jérôme Mendes, Rui Araújo, Marco Silva, and Urbano Nunes. Regenerative braking system modeling by fuzzy Q-learning. Engineering Applications of Artificial Intelligence, 93:103712, August 2020. [doi]

[11]. Jérôme Mendes, Francisco Souza, Rui Araújo, and Saeid Rastegar. Neo-fuzzy neuron learning using backfitting algorithm. Neural Computing and Applications, 31(8):3609–3618, August 2019. [doi]

SOFTWARE: GAM-ZOTS Toolbox

[10]. Jérôme Mendes, Luís Osório, and Rui Araújo. Self-tuning pid controllers in pursuit of plug and play capacity. Control Engineering Practice, 69:73–84, December 2017. [doi]

SOFTWARE: Self-Tuning PID Controllers Toolbox

[9]. Saeid Rastegar, Rui Araújo, and Jérôme Mendes. Online Identification of Takagi–Sugeno Fuzzy Models Based on Self-Adaptive Hierarchical Particle Swarm Optimization Algorithm. Applied Mathematical Modelling, v.45, p. 606-620, May 2017. [doi]

[8]. Saeid Rastegar, Rui Araújo, Jalil Sadati and Jérôme Mendes. A Novel Robust Control Scheme for LTV Systems Using Output Integral Discrete-Time Synergetic Control Theory. European Journal of Control, 34:39–48, March 2017. [doi]

[7]. Francisco A. A. Souza, Rui Araújo, and Jérôme Mendes. Review of soft sensors methods for regression applications. Chemometrics and Intelligent Laboratory Systems, v.152, p. 69-79, March 2016. [doi]

[6]. Saeid Rastegar, Rui Araújo, and Jérôme Mendes. A new approach for online t-s fuzzy identification and model predictive control of nonlinear systems. Journal of Vibration and Control,, v. 22, n. 7, p. 1820-1837, 2016. [doi]

[5]. Jérôme Mendes, Rui Araújo, Tiago Matias, Ricardo Seco, Carlos Belchior. Automatic Extraction of the Fuzzy Control System by a Hierarchical Genetic Algorithm. Engineering Applications of Artificial Intelligence, v. 29, n. 10, p. 70-78, March 2014. [doi]

[4]. Jérôme Mendes, Rui Araújo, Francisco Souza. Adaptive fuzzy identification and predictive control for industrial processes. Expert Systems with Applications, v. 40, n. 17,p. 6964-6975, December 2013. [doi]

[3]. Francisco Souza, Rui Araújo, Tiago Matias, Jérôme Mendes. A Multilayer-Perceptron Based Method for Variable Selection in Soft Sensor Design. Journal of Process Control, v. 23, n. 10, p. 1371-1378, November 2013. [doi]

[2]. Jérôme Mendes, Francisco Souza, Rui Araújo, Nuno Gonçalves. Genetic fuzzy system for data-driven soft sensors design. Applied Soft Computing, v. 12, n. 10, p. 3237-3245, October 2012. [doi]

[1]. Jérôme Mendes, Rui Araújo, Pedro Sousa, Filipe Apóstolo, and Luís Alves. An architecture for adaptive fuzzy control in industrial environments. Computers in Industry, v. 62, n. 3, p. 364-373, April 2011. [doi]

Conference Papers


[30]. Joana Leiria, Rodrigo Salles, Jérôme Mendes, and Pedro Sousa. Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models. In Proc. of The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), pages 1–6, Rome, Italy, May 10-22 2023.

[30]. Jorge Alves, Pedro Sousa, Bárbara Matos, Jérôme Mendes, Francisco Souza and Tiago Matias. Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation. In Proc. of The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), pages 1–6, Rome, Italy, May 10-22 2023.

[29]. Rodrigo Salles, Jérôme Mendes, Carlos Henggeler Antunes, Pedro Moura, and Joana Dias. Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants. In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1–6, Brussels, Belgium, October 17-20 2022. IEEE. [doi]

SOFTWARE: DySetpoint Toolbox

[28]. Jorge Pereira, Jérôme Mendes, Jorge S. S. Júnior, Carlos Viegas, and João Ruivo Paulo. Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms. In Proc. of The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pages 1–6, Brussels, Belgium, October 17-20 2022. IEEE. [doi]

[27]. Ricardo Maia, Jérôme Mendes, and Rui 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 1–7, Brussels, Belgium, October 17-20 2022. IEEE. [doi]

[26]. Nuno Mendes, Pedro Moura, Jérôme Mendes, Rodrigo Salles, and Javad Mohammadi. Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities. In Proc. of The 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 10-12 October 2022. IEEE.

[doi]

[25]. Rodrigo Salles, Jérôme Mendes, Rui Araújo, Carlos Melo, and Pedro 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 1–7, Padova, Italy, July 18-23 2022. IEEE. [doi]

SOFTWARE: ML-WWTP Toolbox

[24]. Jorge Alves, Pedro Sousa, Pedro Serrano, and Jérôme Mendes. Adaptable monitoring and control platform for residential environments. In Proc. of The 19th International Conference on Sustainable Energy Technologies (SET 2022), Istanbul, Turkey, August 16 – 18 2022.

[23]. Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, and João Gama. Fault Detection in Wastewater Treatment Plants. The 7th Workshop on Data Science for Social Good, Grenoble, France, September 23, 2022.

SOFTWARE: FD-WWTP Toolbox

[22]. Jorge S. S. Júnior, Jérôme Mendes, Rui Araújo, João Ruivo Paulo and Cristiano Premebida. Novelty Detection for Iterative Learning of MIMO Fuzzy Systems. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), Palma de Mallorca, Spain, 21-23 July 2021. IEEE. [doi]

Best Paper Award of the conference (an ex aequo award)

[21]. Jorge S. S. Júnior, João Paulo, Jérôme Mendes, Daniela Alves, and Luís Mário Ribeiro. Automatic calibration of forest fire weather index for independent customizable regions based on historical records. In Proc. 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2020), California, USA, December 9-11 2020. IEEE. [doi]

[20]. Jérôme Mendes, Francisco A. A. Souza, Ricardo Maia, and Rui Araújo. Iterative learning of multiple univariate zero-order t-s fuzzy systems. In Proc. of the The IEEE 45th Annual Conference of the Industrial Electronics Society (IECON 2019), pages 3657-3662, Lisbon, Portugal, October 14-17 2019. IEEE. [doi]

SOFTWARE: iMU-ZOTS Toolbox

[19]. Jérôme Mendes, Ricardo Maia, Rui Araújo, and Gonçalo Gouveia. Intelligent controller for industrial processes applied to a distributed two-tank system. In Proc. 1st IEEE International Conference on Artificial Intelligence for Industries (AI4I 2018), pages 1–6, Laguna Hills, California, USA, September 26-28 2018. IEEE. [doi]

[18]. Jérôme Mendes, Ricardo Maia, Rui Araújo, and Gonçalo Gouveia. Evolving fuzzy controller, and application to a distributed two-tank process. In Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pages 1–6, Banda Aceh, Indonesia, September 19-20 2018. IEEE. [doi]

[17]. Ricardo Pereira, Rui Araújo, Jérôme Mendes, Ricardo Maia, and Gonçalo Gouveia. Sun-synchronous satellite simulation on khronosim, the new system testing architecture. In Proc. 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), pages 1–6, Banda Aceh, Indonesia, September 19-20 2018. IEEE. [doi]

Best Paper Award of the conference

[16]. Carlos Belchior, Rui Araújo, Jérôme Mendes, Alcidney Chaves, and Ricardo Maia. H-infinity adaptive fuzzy control approach applied to antilock-braking systems over a CAN network. In Proc. 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018), pages 1–8, Torino, Italy, September 4-7 2018. IEEE. [doi]

[15]. Jérôme Mendes, António Craveiro, and Rui 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, June 4-6 2018. IEEE. [doi]

[14]. Jérôme Mendes, Francisco Souza and Rui Araújo. Online Evolving Fuzzy Control Design: An Application to a CSTR Plant. IEEE 15th International Conference on Industrial Informatics (INDIN 2017), pages 1-8, Emden, Germany, July 24 - July 17. IEEE. [doi]

SOFTWARE: SEDFLC Toolbox

[13]. Jérôme Mendes, Rui Araújo, Tiago Matias, Ricardo Seco, and 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 1-8, Dallas, TX, USA, October 29 - November 1 2014. IEEE. [doi]

[12]. Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, and Jérôme Mendes. Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. In Proc. of the The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), pages 1-8, Dallas, TX, USA, October 29 - November 1 2014. IEEE. [doi]

[11]. Saeid Rastegar, Rui Araújo, Jérôme Mendes, Tiago Matias, and Alireza 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 1-8, Dallas, TX, USA, October 29 - November 1 2014. IEEE. [doi]

[10]. Luís Osório, Jérôme Mendes, Rui Araújo, and Tiago Matias. A comparison of adaptive PID methodologies controlling a DC motor with a varying load. In Proc. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, September 17-21 2012. IEEE. [doi]

[9]. Jérôme Mendes and Rui Araújo. Fuzzy model predictive control for nonlinear processes. In Proc. 17th IEEE International *Conference on Emerging Technologies and Factory Automation/ (ETFA 2012), Kraków, Poland, September 17-21 2012. IEEE. [doi]

[8]. Jérôme Mendes, Samuel Pinto, Rui Araújo, Francisco Souza. Evolutionary fuzzy models for nonlinear identification. In Proc. 17th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, Poland, September 17-21 2012. IEEE. [doi]

[7]. Jérôme Mendes, Nuno Sousa, and Rui Araújo. Adaptive predictive control with recurrent fuzzy neural network for industrial processes. In Proc. 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), pages 1-8, Toulouse, France, September 5-9 2011. IEEE. [doi]

[6]. Jérôme Mendes, Ricardo Seco, and Rui Araújo. Automatic extraction of the fuzzy control system for industrial processes. In Proc. 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), pages 1-8, Toulouse, France, September 5-9 2011. IEEE. [doi]

[5]. Jérôme Mendes and Rui Araújo. Stable indirect adaptive predictive fuzzy control for industrial processes. In Proc. 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), pages 1-8, Toulouse, France, September 5-9 2011. IEEE. [doi]

[4]. Jérôme Mendes, Rui Araújo, Francisco Souza. Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model. In 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, Spain, September 13-16 2010. IEEE. [doi]

[3]. Jérôme Mendes, and Rui Araújo. Adaptive fuzzy model-based predictive control: a lyapunov approach. In Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, Portugal, September 8-10 2010. [pdf]

[2]. Jérôme Mendes, Rui Araújo, Pedro Sousa, Filipe Apóstolo, and Luís Alves. Fuzzy control architecture for industrial systems. In Proc. 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, Portugal, September 8-10 2010. [pdf]

[1]. Francisco Souza, Rui Araújo, Symone Soares, Jérôme Mendes. Variable Selection Based on Mutual Information for Soft Sensors Applications. In 9th Portuguese Conference on Automatic Control, (CONTROLO 2010), Coimbra, Portugal, September 8-10 2010. [pdf]

Technical Reports

[5]. Luı́s Osório, Alireza Emami, Jérôme Mendes, Rui Araújo, Tiago Matias, and Pedro Sousa. VRFT and MPC Control Methodologies. Technical Report SCIAD 04, Department of Electrical and Computer Engineering, Faculty of Sciences and Technology, University of Coimbra, June 2014.

[4]. Tiago Matias, Jérôme Mendes, Rui Araújo, and Pedro Sousa. Algorithm to Obtain Linguistic Values (Fuzzy Sets) of Fuzzy Linguistic Variables by Learning. Technical Report SCIAD 03, Department of Electrical and Computer Engineering, Faculty of Sciences and Technology, University of Coimbra, September 2013.

[3]. Luı́s Osório, Saeid Rastegar, Jérôme Mendes, Rui Araújo, Tiago Matias, and Pedro Sousa. Adaptive Techniques on Linear Controllers, and Methods for Identification of Process Models for Control Applications. Technical Report SCIAD 02, Department of Electrical and Computer Engineering, Faculty of Sciences and Technology, University of Coimbra, June 2013.

[2]. Tiago Matias, Luı́s Osório, Jérôme Mendes, Rui Araújo, and Pedro Sousa. Obtaining Fuzzy Rules by Genetic Programming and Linear Control Techniques. Technical Report SCIAD 01, Department of Electrical and Computer Engineering, Faculty of Sciences and Technology, University of Coimbra, September 2012.

[1]. Jérôme Mendes and Rui Araújo. Intelligent systems and applications. Technical Report SInCACI 01, Department of Electrical and Computer Engineering, Faculty of Sciences and Technology, University of Coimbra, September 2009.

Poster

Jérôme Mendes and Rui Araújo. Adaptive fuzzy generalized predictive control based on discrete-time t-s fuzzy model for industrial processes. November 22-28 2010. National Science and Technology Week, Faculty of Sciences and Technology, University of Coimbra. [pdf]