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FP7-ICT, Energy Systems - Systems Engineering: Rapidly-Deployable, Self-Tuning, Self-Reconfigurable, Nearly-Optimal Control Design for Large-Scale Nonlinear Systems (AGILE)

Description: Das Projekt "FP7-ICT, Energy Systems - Systems Engineering: Rapidly-Deployable, Self-Tuning, Self-Reconfigurable, Nearly-Optimal Control Design for Large-Scale Nonlinear Systems (AGILE)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Centre for Research and Technology Hellas.The inability of existing theoretical and practical tools to efficiently deal with the control of complex, uncertain and time-changing large-scale systems, not only leads to a effort, time and cost consuming deployment of Large-Scale Control Systems (LSCSs), but also prohibits the wide application of LSCS in areas and applications where LSCSs could potentially have a tremendous effect in improving system efficiency and Quality of Services (QoS), reducing energy consumption and emissions, and improving the day-to-day quality of life. Based on recent advances of its partners on convex design for LSCSs and robust and efficient LSCS self-tuning, the AGILE project aims at developing and evaluating an integrated LSCS-design methodology, applicable to large-scale systems of arbitrary scale, heterogeneity and complexity and capable of: - Providing proactive, arbitrarily-close-to-optimal LSCS performance; - Being intrinsically self-tuneable, able to rapidly and efficiently optimize LSCS performance when short- medium- and long-time variations affect the large-scale system; - Providing efficient, rapid and safe fault-recovery and LSCS re-configuration; and, - Achieving all the above, while being scalable and modular. To ease implementation and deployment of the AGILE system in existing open-architecture SCADA/DCS infrastructures, a set of open-source interfacing tools will be developed. The integrated LSCS design system to be developed within AGILE along with the interfaces will be extensively tested and evaluated into two real-life large-scale Test Cases (a 20-junction urban traffic network and a large-scale energy-controlled building) possessing a rich variety of design and performance characteristics, extremely complex nonlinear dynamics, highly stochastic effects, uncertainties and modelling errors, as well as reconfiguration and modular design requirements.

Types:
SupportProgram

Origin: /Bund/UBA/UFORDAT

Tags: Kassel ? Bauphysik ? Gebäude ? Regeltechnik ? Stadtverkehr ? Gebäudetechnik ? Energieeffizientes Bauen ? Energieeinsparung ? Energienutzung ? Energiequelle ? Energietechnik ? Energieverbrauch ? Prognosemodell ? Verkehrslenkung ? Wettervorhersage ? Modellierung ? Kreta ? Energieeffizienz ? Informations- und Kommunikationstechnik ? Standortbedingung ? Umweltbewusstsein ? Verkehrstechnik ? Wetter ? Effizienzsteigerung ? Nutzerverhalten ? FP7-ICT ? Kontinuierliches Verfahren ? Optimieren der Fahrweise ?

License: cc-by-nc-nd/4.0

Language: Englisch/English

Organisations

Time ranges: 2010-09-01 - 2013-08-31

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