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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

Details

Publications

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.

2018

Trends in Gravitational Search Algorithm

Authors
de Moura Oliveira, PBD; Oliveira, J; Cunha, JB;

Publication
Distributed Computing and Artificial Intelligence, 14th International Conference, DCAI 2017, Porto, Portugal, 21-23 June, 2017

Abstract
The gravitational search algorithm (GSA) is reviewed, by presenting a tutorial analysis of its key issues. As any other metaheuristic, GSA requires the selection of some heuristic parameters. One parameter which is crucial in regulating the exploratory capabilities of this algorithm is the gravitational constant. An analysis regarding this parameter selection is presented and a heuristic rule proposed for this purpose. The GSA performance is compared both with a hybridization with particle swarm optimization (PSO) and standard PSO. Preliminary simulation results are presented considering simple continuous functions optimization examples. © Springer International Publishing AG 2018.

2018

PID Posicast Control for Uncertain Oscillatory Systems: A Practical Experiment

Authors
Oliveira, J; Oliveira, PM; Pinho, TM; Cunha, JB;

Publication
IFAC-PapersOnLine

Abstract

2018

PID controller tuning for integrating processes

Authors
Vrancic, D; Huba, M; Oliveira, PM;

Publication
IFAC-PapersOnLine

Abstract
The proposed tuning method for integrating processes, which is based on Magnitude optimum criterion, has been extended to PID types of controllers. The method requires either the process transfer function (in frequency-domain) or the measurement of process steady-state change (in time-domain). The PID controller parameters are calculated analytically by solving fourth-order polynomial. By changing reference-weighting parameter b, the user can favour tracking (higher b) or control performance (lower b). The proposed method has been tested on several process models (lower-order with delay, higher order with delay, and a phase non-minimum process) and the closed-loop responses were relatively fast and non-oscillatory. The comparison with other tuning method based on process step-response data results in favourable tracking and control performance. © 2018

2018

Stability of multidimensional systems using bio-inspired meta-heuristics

Authors
Solteiro Pires, EJS; de Moura Oliveira, PBD; Tenreiro Machado, JAT;

Publication
International Journal of Control

Abstract

Supervised
thesis

2017

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

2017

Diagnóstico Automático no Cancro da Mama

Author
Vera Susana Ribeiro

Institution
UTAD

2017

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

Author
Guilhermino de Almeida Magalhães Pereira

Institution
UTAD

2017

Otimização e controlo de um braço robótico com técnicas bio-inspiradas

Author
Stefan Correia Vidal

Institution
UTAD

2016

Projeto de controladores pid com meta-heurísticas de inspiração natural e biológica

Author
Nuno Miguel Cardoso Rodrigues

Institution
UTAD