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About

About

Adjunct professor at Polytechnic Institute of Bragança, Department of Electrotechnics.

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Details

Details

Publications

2021

Performance Enhancement of a Neato XV-11 Laser Scanner Applied to Mobile Robot Localization: A Stochastic Modeling Approach

Authors
Gonçalves, J; Coelho, JP; Braz César, M; Costa, P;

Publication
Lecture Notes in Electrical Engineering

Abstract

2021

CDM Controller Design of a Grid Connected Photovoltaic System

Authors
Coelho, JP; Giernacki, W; Gonçalves, J; Boaventura Cunha, J;

Publication
Lecture Notes in Electrical Engineering

Abstract

2021

Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package

Authors
Pinho T.M.; Coelho J.P.; Oliveira P.M.; Oliveira B.; Marques A.; Rasinmäki J.; Moreira A.P.; Veiga G.; Boaventura-Cunha J.;

Publication
Applied Computing and Informatics

Abstract
The optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be devised with the ability to deal with stakeholders dynamic interactions and to optimize the supply chain performance as a whole while being stable and robust, even in the presence of uncertainties. This work proposes a framework to coordinate different planning levels and event-based models to manage the forest-based supply chain. In particular, with the new methodology, the resilience and flexibility of the biomass supply chain is increased through a closed-loop system based on the system forecasts provided by a discrete-event model. The developed event-based predictive model will be described in detail, explaining its link with the remaining elements. The implemented models and their links within the proposed framework are presented in a case study in Finland and results are shown to illustrate the advantage of the proposed architecture. © 2018

2019

Cyberphysical Network for Crop Monitoring and Fertigation Control

Authors
Coelho, JP; Rosse, HV; Cunha, JB; Pinho, TM;

Publication
Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I

Abstract

2019

Development of a brain emotional learning based controller for application to vibration control of a building structure under seismic excitation

Authors
Braz César, M; Gonçalves, J; Coelho, J; Barros, R;

Publication
COMPDYN Proceedings

Abstract
In this paper, a numerical simulation of a semi-active neuroemotional based control system for vibration reduction of a 3-story framed building structure under seismic excitation is presented. The Brain Emotional Learning Based Intelligent Controller (BELBIC) is used to design a closed-loop control system that determines the required control action (emotional response) based on the desired and actual system response (sensory input). In this case, the control signal is used to adjust in real time the damping force of a MagnetoRheological (MR) damper to reduce the system response. The results obtained from the numerical simulation validate the effectiveness of the brain emotional learning semi-active controller in improving the overall response of the structural system. © 2019 The authors.