AGILE

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.

Athanasios
Konstantopoulos

Priority Area

Coordinating Organisation