» Investigación » SISIUS - Investigación en la USE

Responsable: Eduardo Fernández Camacho
Tipo de Proyecto/Ayuda: 6º Programa Marco de la U.E.
Referencia: FP6-511368
Web: http://cordis.europa.eu/projects/rcn/71579_en.html
Fecha de Inicio: 15-09-2004
Fecha de Finalización: 14-03-2009

Empresa/Organismo financiador/es:

• Commission of the European Communities

Socios:

• FIST SA - France Innovation Scientifique et Transfert (Ronan Stephan)
• Centre National de la Recherche Scientifique (Françoise Lamanabhi-Lagarrique)
• Universite Catholique de Louvain (Vincent Blondel)
• Eidgenoessische Technische Hochschule Zuerich (Manfred Morari)
• Ruhr-Universitaet Bochum (Jan Lunze)
• Technische Universitaet Dortmund (Sebastian Engell)
• Deutsches Zentrum fuer Luft - Und Raumfahrt E.V. (Martin Otter)
• Otto-Von-Guericke-Universitaet Magdeburg (Joerg Raisch)
• Ecole Superieure d-Electricite (Hervé Gueguen)
• Institut National de Recherche en Informatique et en Automatique (Giancarlo Ferrari Trecate)
• University of Patras (John Lygeros)
• Universita degli Studi di l-Aquila (Maria Domenica Di Benedetto)
• Universita degli Studi di Pisa (Antonio Bicchi)
• University of Siena (Alberto Bemporad)
• Parades GEIE (Alberto Sangiovanni-Vicentelli)
• Technische Universiteit Eindhoven (Henk Nijmeijer)
• Universiteit Twente (Arjan Van der Schaft)
• Technische Universiteit Delft (Bart De Schutter)
• Kungliga Tekniska Högskolan (Karl Henrik Johanssnon)
• Linkoepings Universitet (Lennart Ljung)
• Lund University (Anders Rantzer)
• The Chancellor, Masters and Scholars of the University of Cambridge (Jan Maciejowski)

Equipo:

• Investigadores:
  • Teodoro Álamo Cantarero
  • Ignacio Alvarado Aldea
  • Carlos Bordons Alba
  • Alfonso Cepeda Caballos
  • Fernando Dorado Navas
  • Juan Manuel Escaño González
  • Antonio Ferramosca
  • Daniel Limón Marruedo
  • David Muñoz de la Peña Sequedo
  • Amparo Núñez Reyes
  • Mercedes Pérez de la Parte
  • Miguel Ángel Ridao Carlini
  • Daniel Rodríguez Ramírez
  • Manuel Ruiz Arahal
  • Ascensión Zafra Cabeza

Contratados:

• Investigadores:
  • Alejandro José del Real Torres
  • Tomás Fernández Buckley
  • María del Mar García Barros
  • Tomás Garrido López
  • Amalia Luque Sendra
  • Anastasio Marban Ingelmo
  • David Marcos Rodríguez
  • Juan José Martín Rosano
  • Paula Pichel Fernández
  • Beatriz Pontes Balanza
• Técnicos/Personal Administrativo:
  • Filiberto Fele
  • Antonio Ferramosca
  • Antonio Javier Gallego Len
  • Carlos Alberto García Álvarez
  • Juan Alberto García Barroso

Resumen del proyecto:

The objective of the NoE HYCON is establishing a durable community of leading researchers and practitioners who develop and apply the hybrid systems approach to the design of networked embedded control systems as found, e.g., in industrial production, transportation systems, generation and distribution of energy, communication systems. Hybrid systems provide a scientific paradigm to systematically address the analysis, modelling, simulation, synthesis, and optimisation of digital controllers for physical plants that communicate directly or via networks with other computerized systems and with human users and supervisors.

Malfunction of the control system can lead to drastic performance degradation, severe damage to humans and the environment and cause significant economic losses. The interaction of digital controllers, communication systems and physical plants originates complex dynamic behaviours that cannot be understood intuitively. At present, the development of such systems is based on extensive testing and frequent iterations without guarantee of performance or even safety.

HYCON aims at a major advancement of the methodology for the design of such systems and their application in power management, industrial controls, automotive control and communication networks. The long-lasting result will be a European Institute of Hybrid Systems (EIHS), designed to become a worldwide focal point for hybrid systems research. The partners of the network span a broad range of expertise, from applied mathematics and computer science to advanced control applications. They share an integrating approach based on the concept of a dynamical system, which provides the basis for understanding and mastering the complexity and heterogeneity issues arising in the design of large distributed networked embedded control systems. The network will contribute significantly to bridge the gap between traditional control engineering and embedded system design.