Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/39025
Title: A neural approach for modeling the inference of awareness in computer-supported collaboration
Author: Aguilar-Garnica, E.
Dochain, D.
Alcaraz-Gonzalez, V.
Gonzalez-Alvarez, V.
Issue Date: 2009
Abstract: This paper deals with the design and application of a nonlinear multivariable controller in an anaerobic digestion system (AD) carried out in two interconnected fixed bed bioreactors. The proposed control scheme is derived from a mathematical model of the AD system described by a set of partial differential equations and consists of an estimator and two nonlinear control laws. The first law is developed to regulate the volatile fatty acids in the first bioreactor while the second aims at maintaining the chemical oxygen demand at predetermined set-points in the second bioreactor. The performance of the control algorithm is evaluated via numerical simulations in the face of load disturbances, parameter kinetic uncertainties and set-point changes. Stability and convergence properties of the proposed control scheme are also addressed in this paper. " 2009 Elsevier Ltd. All rights reserved.",,,,,,"10.1016/j.jprocont.2009.04.003",,,"http://hdl.handle.net/20.500.12104/39025","http://www.scopus.com/inward/record.url?eid=2-s2.0-70249151388&partnerID=40&md5=fc8aa6da2eeec8058cb7346716438e5e",,,,,,"8",,"Journal of Process Control",,"1324
1332",,"19",,"Scopus
WOS",,,,,,"Anaerobic digestion process; Multivariable control; Partial differential equations",,,,,,"A multivariable control scheme in a two-stage anaerobic digestion system described by partial differential equations",,"Article" "40808","123456789/35008",,"Daradoumis, T., Open University of Catalonia, Department of Information Sciences, Av. Tibidabo, 39-43, 08035 Barcelona, Spain; Casillas, L.A., University of Guadalajara, Department of Computer Sciences, Av. Revolucion, 1500, 44840 Guadalajara, Mexico",,"Daradoumis, T.
Casillas, L.A.",,"2006",,"Individuals interacting in a computer supported collaborative learning (CSCL) environment produce a variety of information elements during their participation; these information elements usually have a complex structure and semantics, which make it rather difficult to find out the behavioral attitudes and profiles of the users involved. This work provides a model that can be used to discover awareness information lying underneath multi-user interaction. This information is initially captured in log files and then is represented in a specific form in events-databases. By using data mining techniques, it is possible to infer both the users' behavioral profiles and the relationships that occur in a CSCL environment. In this work we combine different data mining strategies and a neural-based approach in order to construct a multi-layer model that provides a mechanism for inferring different types of awareness information from group activity and presenting it to the interested parties. " Springer-Verlag Berlin Heidelberg 2006.
URI: http://hdl.handle.net/20.500.12104/39029
http://www.scopus.com/inward/record.url?eid=2-s2.0-33750538402&partnerID=40&md5=c719de23b4a48c1f70102bf3b5f3b322
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