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About

José Boaventura-Cunha is an Engineer in Electronics and Telecommunications from the University of Aveiro (1985) and has a PhD in Electrotechnical and Computer Engineering from UTAD-University of Trás-os-Montes and Alto Douro, Portugal (2002). Currently holds the position of Associate Professor with habilitation at the the School of Sciences and Technology of UTAD.
Since 2012 he is a member of the CRIIS-Center for Robotics in Industry and Intelligent Systems at INESC TEC - Institute of Systems and Computer Engineering, Technology and Science and is Coordinator of the pole of INESC TEC at UTAD.
His research interests are related to the areas of Instrumentation, modeling and control applied to industrial and agro-forestry processes.

Interest
Topics
Details

Details

002
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

Smartphone Applications Targeting Precision Agriculture Practices—A Systematic Review

Authors
Mendes, J; Pinho, TM; dos Santos, FN; Sousa, JJ; Peres, E; Boaventura Cunha, J; Cunha, M; Morais, R;

Publication
Agronomy

Abstract
Traditionally farmers have used their perceptual sensorial systems to diagnose and monitor their crops health and needs. However, humans possess five basic perceptual systems with accuracy levels that can change from human to human which are largely dependent on the stress, experience, health and age. To overcome this problem, in the last decade, with the help of the emergence of smartphone technology, new agronomic applications were developed to reach better, cost-effective, more accurate and portable diagnosis systems. Conventional smartphones are equipped with several sensors that could be useful to support near real-time usual and advanced farming activities at a very low cost. Therefore, the development of agricultural applications based on smartphone devices has increased exponentially in the last years. However, the great potential offered by smartphone applications is still yet to be fully realized. Thus, this paper presents a literature review and an analysis of the characteristics of several mobile applications for use in smart/precision agriculture available on the market or developed at research level. This will contribute to provide to farmers an overview of the applications type that exist, what features they provide and a comparison between them. Also, this paper is an important resource to help researchers and applications developers to understand the limitations of existing tools and where new contributions can be performed.

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.

2019

Innovating in Control Engineering Teaching/Learning with Smartphones

Authors
Oliveira, PM; Cunha, JB; Soares, F;

Publication
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

Abstract

Supervised
thesis

2018

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution
UTAD

2017

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution

2016

ANÁLISE DINÂMICA DE ESCOAMENTO DE FLUÍDOS

Author
Maria Manuela Jorge Martins Ferreira

Institution
UTAD

2016

ANÁLISE COMPUTACIONAL DA CONDUÇÃO DE CALOR EM DOMÍNIOS BIDIMENSIONAIS

Author
Luís Adriano Preto Mendes Afonso

Institution
UTAD

2016

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution
UTAD