5 papers
Using Immunology Principles for Anomaly Detection in Electrical Systems
P. J. Costa Branco, J. A. Dente, R. Vilela Mendes
The immune system is a cognitive system of complexity comparable to the brain and its computational algorithms suggest new solutions to engineering problems or new ways of looking…
A Fuzzy Relational Identification Algorithm and Its Application to Predict The Behaviour of a Motor Drive System
P. J. Costa Branco, J. A. Dente
Fuzzy relational identification builds a relational model describing systems behaviour by a nonlinear mapping between its variables. In this paper, we propose a new fuzzy relationa…
Noise Effects in Fuzzy Modelling Systems
P. J. Costa Branco, J. A. Dente
Noise is source of ambiguity for fuzzy systems. Although being an important aspect, the effects of noise in fuzzy modeling have been little investigated. This paper presents a set…
Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques
P. J. Costa Branco, J. A. Dente
Increasing demands in performance and quality make drive systems fundamental parts in the progressive automation of industrial processes. Their conventional models become inappropr…
Language identification of controlled systems: Modelling, control and anomaly detection
J. F. Martins, J. A. Dente, A. J. Pires +1
Formal language techniques have been used in the past to study autonomous dynamical systems. However, for controlled systems, new features are needed to distinguish between informa…