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About

About

Paulo Moura Oliveira received the Electrical Engineering degree in 1991, from the UTAD University, Portugal, MSc in Industrial Control Systems in 1994 and PhD in Control Engineering in 1998, both from Salford University, Manchester, UK. He is a Tenured Associated Professor at the Engineering Department of UTAD University and a researcher at the INESC TEC institute. Currently, he is the director of the PhD Course in Electrical and Computers Engineering in UTAD. His research interests are focused on the fields of control engineering, intelligent control, PID control, control engineering education, evolutionary and natural inspired metaheuristics for single and multiple objective optimization problem solving. He is author in more than 100 peer-reviewed scientific publications.

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Details

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Publications

2020

Review of nature and biologically inspired metaheuristics for greenhouse environment control

Authors
Oliveira, PM; Solteiro Pires, EJ; Boaventura Cunha, J; Pinho, TM;

Publication
Transactions of the Institute of Measurement and Control

Abstract
A significant number of search and optimisation techniques whose principles seek inspiration from nature and biology phenomena have been proposed in the last decades. These methods have been successfully applied to solve a wide range of engineering problems. This is also the case of greenhouse environment control, which has been incorporating this type of techniques into its design. This paper addresses evolutionary and bio-inspired methods in the context of greenhouse environment control. Algorithm principles for reference techniques are reviewed, namely: simulated annealing, genetic algorithm, differential evolution and particle swarm optimisation. The last three techniques are considered using single and multiple objective formulations. A review of these algorithms within greenhouse environment control applications is presented, considering single and multiple objective problems, as well as their current trends. © The Author(s) 2020.

2020

Evaluation of Hunting-Based Optimizers for a Quadrotor Sliding Mode Flight Controller

Authors
Oliveira, J; Oliveira, PM; Boaventura Cunha, J; Pinho, T;

Publication
Robotics

Abstract
The design of Multi-Input Multi-Output nonlinear control systems for a quadrotor can be a difficult task. Nature inspired optimization techniques can greatly improve the design of non-linear control systems. Two recently proposed hunting-based swarm intelligence inspired techniques are the Grey Wolf Optimizer (GWO) and the Ant Lion Optimizer (ALO). This paper proposes the use of both GWO and ALO techniques to design a Sliding Mode Control (SMC) flight system for tracking improvement of altitude and attitude in a quadrotor dynamic model. SMC is a nonlinear technique which requires that its strictly coupled parameters related to continuous and discontinuous components be correctly adjusted for proper operation. This requires minimizing the tracking error while keeping the chattering effect and control signal magnitude within suitable limits. The performance achieved with both GWO and ALO, considering realistic disturbed flight scenarios are presented and compared to the classical Particle Swarm Optimization (PSO) algorithm. Simulated results are presented showing that GWO and ALO outperformed PSO in terms of precise tracking, for ideal and disturbed conditions. It is shown that the higher stochastic nature of these hunting-based algorithms provided more confidence in local optima avoidance, suggesting feasibility of getting a more precise tracking for practical use.

2020

Visual Trunk Detection Using Transfer Learning and a Deep Learning-based Coprocessor

Authors
Aguiar, AS; Dos Santos, FN; Miranda De Sousa, AJM; Oliveira, PM; Santos, LC;

Publication
IEEE Access

Abstract

2020

Processos e metodologias não-tradicionais no Ensino Superior de Engenharia Elétrica: a percepção de coordenadores de curso em dois países lusófonos

Authors
Pereira, CA; Oliveira, PM; Reis, MJ;

Publication
Revista Meta: Avaliação

Abstract
O objetivo é investigar as ferramentas e metodologias utilizadas no Ensino Superior (ES) de Engenharia Elétrica e de Computadores (EEC), identificando as unidades curriculares que as utilizaram. A análise foi baseada na percepção dos coordenadores de curso. Utilizou-se a triangulação entre múltiplas metodologias e diferentes métodos de análise, combinando a análise léxica, análise de keywords e análise de conteúdo. Entrevistou-se coordenadores de curso em três universidades em Portugal e no Brasil. Na análise de conteúdo emergiram duas categorias: percepção dos coordenadores sobre metodologias não tradicionais e percepção sobre ferramentas de software como recursos didáticos. As iniciativas utilizando processos e metodologias de ensino não tradicionais foram reduzidas e pontuais, com ações individuais dos docentes e não de padrões de ensino discutidos e institucionalizados. A precariedade da infraestrutura dos laboratórios e das licenças de software foi um relato comum.Palavras-chave: Metodologias não Tradicionais. Coordenadores de Curso. Ferramentas. Engenharia Elétrica. Ensino Superior.

2019

Integrating MIT app-inventor in PLC programming teaching

Authors
de Moura Oliveira, PB; Boaventura Cunha, J; Soares, F;

Publication
Lecture Notes in Electrical Engineering

Abstract
The potentialities of using mobile devices such as smartphones for teaching/learning purposes are huge. However, in some teaching areas its use is still residual. The use of mobile applications in the context of teaching PLC programming techniques is addressed in this work. The MIT App-Inventor II is deployed to develop mobile applications for learning purposes. An android based application entitled Time-Counts is proposed here, developed to support the teaching/learning process of timers. Preliminary results regarding its use by students are presented. © 2019, Springer International Publishing AG, part of Springer Nature.

Supervised
thesis

2019

Chat Bot -o diagmóstico de bolso

Author
Duarte Rui Afonso Gomes Tavares do Amaral

Institution
UTAD

2018

Simulação de enxames robóticos controlados com meta-heuristicas bio-inspiradas

Author
Guilhermino de Almeida Magalhães Pereira

Institution
UTAD

2018

Diagnóstico Automático no Cancro da Mama

Author
Vera Susana Ribeiro

Institution
UTAD

2018

SUCESSO DA GESTÃO DE PROJETOS DE DESENVOLVIMENTO DE SISTEMAS DE INFORMAÇÃO - O CASO DOS PROJETOS EM INSTITUIÇÕES PÚBLICAS

Author
Antero Manuel de Carvalho Gonçalves

Institution
UTAD

2018

Sistemas Baseados em casos: Aplicação à Saúde

Author
Stéfanie Maria da Costa Alves

Institution
UTAD