activity
19942001
most citedTorque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation

65 citations · 87 across the 9 of their papers we have counts for

collaborators

9 papers

nlin.AO2001

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…

cs.CE2000★ 7 cited

Fault Detection using Immune-Based Systems and Formal Language Algorithms

J. F. Martins, P. J. Costa Branco, A. J. Pires +1

This paper describes two approaches for fault detection: an immune-based mechanism and a formal language algorithm. The first one is based on the feature of immune systems in disti…

cs.RO2000

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…

cs.RO2000★ 65 cited

Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation

L. Henriques, L. Rolim, W. Suemitsu +2

Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special application…

cs.NE2000★ 2 cited

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…

cs.RO2000

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…