DSpace Collection: http://hdl.handle.net/10174/1119 Wed, 15 Apr 2026 23:23:41 GMT 2026-04-15T23:23:41Z MUSMAR based switching control of a solar collector field http://hdl.handle.net/10174/15980 Title: MUSMAR based switching control of a solar collector field Authors: Rato, Luis; Borrelli, Donato; Mosca, Edoardo; Lemos, João M; Balsa, Pedro Editors: Aeyels, Dirk Abstract: This paper presents a switching controller for the distributed collector eld of a solar power plant. The switching control strategy has been used to cope with the changes in plant dynamic behavior induced by di erent operating conditions. The underlying predictive models and controllers were designed using the MUSMAR adaptive algorithm. Experimental results obtained at Plataforma Solar de Almeria (in Spain), are presented. Wed, 01 Jan 1997 00:00:00 GMT http://hdl.handle.net/10174/15980 1997-01-01T00:00:00Z Using Support Vector Machine Model for Fault Detection along a Water canal http://hdl.handle.net/10174/12600 Title: Using Support Vector Machine Model for Fault Detection along a Water canal Authors: Duarte, J; Rato, L; Rijo, M Editors: Alexandre, L; Proença, H; Fazendeiro, P Abstract: This paper reports a work in progress, the training of a Support Vector Machine model to detect faults in an experimental water supply canal. The work took place at the experimental canal of Núcleo de Hidráulica e Controlo de Canais at the Universidade de Évora. The main objective is to identify faults in the water depth sensors and to detect unauthorized water withdrawals using pattern recognition. The preliminary accuracy tests, in and out of sample, have shown an accuracy over 90% to identify 28 different patterns. Fri, 31 Oct 2014 00:00:00 GMT http://hdl.handle.net/10174/12600 2014-10-31T00:00:00Z Processing and classification of biological images: Application to histology http://hdl.handle.net/10174/3917 Title: Processing and classification of biological images: Application to histology Authors: Nunes, B; Rato, Luis; Capela e Silva, F; Rafael, A; Cabrita, AS Editors: Jorge, RM; Tavares, JM; Barbosa, MP; Slade, AP Abstract: This article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines. Sat, 01 Jan 2011 00:00:00 GMT http://hdl.handle.net/10174/3917 2011-01-01T00:00:00Z