Mário José Gonçalves Cavaco Mendes

Prof. Mário José Gonçalves Cavaco Mendes

1. Polytechnic Institute of Lisbon, Instituto Superior de Engenharia de Lisboa (ISEL), Mechanical Engineering Department, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisbon, Portugal
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orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2020 in Renewable Energy
Verified
Journal Article
Closed access
MKM. Kamarlouei
M. Kamarlouei
José Manuel GasparJosé Manuel Gaspar
José Manuel Gaspar
MCM. Calvario
M. Calvario
Thiago Saksanian HallakThiago Saksanian Hallak
Thiago Saksanian Hallak
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes
Carlos Guedes SoaresCarlos Guedes Soares
Carlos Guedes Soares

1 July 2008 in Applied Ocean Research
Verified
Journal Article
Closed access
Duarte ValérioDuarte Valério
Duarte Valério
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes
Pedro BeirãoPedro Beirão
Pedro Beirão
JCJosé Sá da Costa
José Sá da Costa

7 December 2023 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
José Manuel GasparJosé Manuel Gaspar
José Manuel Gaspar
RPRafael Fernandes Pinheiro
Rafael Fernandes Pinheiro
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes
MKMojtaba Kamarlouei
Mojtaba Kamarlouei
Carlos Guedes SoaresCarlos Guedes Soares
Carlos Guedes Soares

1 June 2008
Verified
Conference Paper
Closed access
Duarte ValérioDuarte Valério
Duarte Valério
Pedro BeirãoPedro Beirão
Pedro Beirão
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes
JCJose Sa da Costa
Jose Sa da Costa
The Archimedes wave swing (AWS) is a a fully- submerged wave energy converter (WEC), that is to say, a device that converts the kinetic energy of sea waves into electricity. A first prototype of the AWS has already been built and tested. This paper presents simulation results of the performance of several control strategies applied to this device, including PID control, reactive control, phase and amplitude control, latching control, feedback linearisation control, internal model control, switching control, and combinations thereof. Linear, white-box nonlinear, and neural network models were employed. Significant (above threefold) increases in yearly energy production were found to be possible with properly designed control strategies.

21 January 2014 in International Transactions on Electrical Energy Systems
Verified
Journal Article
Closed access
PDF file
JMJoão Miranda
João Miranda
JBJosé Borges
José Borges
Duarte ValérioDuarte Valério
Duarte Valério
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes

1 April 2009 in Journal of Computers
Verified
Journal Article
Closed access
PDF file
Mário José Gonçalves Cavaco MendesMário José Gonçalves Cavaco Mendes
Mário José Gonçalves Cavaco Mendes
BSBruno M. S. Santos
Bruno M. S. Santos
JCJosé Sá da Costa
José Sá da Costa
Industrial distributed networked control systems use different communication networks to exchange different critical levels of information. Real-time control, fault diagnosis (FDI) and Fault Tolerant Networked Control (FTNC) systems demand one of the more stringent data exchange in the communication networks of these networked control systems (NCS). When dealing with large-scale complex NCS, designing FTNC systems is a very difficult task due to the large number of sensors and actuators spatially distributed and network connected. To solve this issue, a FTNC platform and toolbox are presented in this paper using simple and verifiable principles coming mainly from a decentralized design based on causal modelling partitioning of the NCS and distributed computing using multi-agent systems paradigm, allowing the use of agents with well established FTC methodologies or new ones developed taking into account the NCS specificities. The multi-agent platform and toolbox for FTNC systems have been built in Matlab/Simulink environment, which is in our days the scientific benchmark for this kind of research. Although the tests have been performed with a simple case, the results are promising and this approach is expected to succeed with more complex processes.