Dynamic management of physically coupled systems of systems.
Project DYMASOS: Dynamic management of physically coupled systems of systems.
“DYMASOS” project aims to develop new methods for the distributed management of large physically connected systems with distributed autonomous management and global coordination. The research is driven by case studies in electrical grid management and control, including smart buildings, and industrial production management.
The methods developed within the project for the management of large physically coupled systems of systems include population-control techniques that are motivated by the behavior of biological systems, market-like mechanisms that try to achieve global optimality by the iterative setting of prices or resource utilization constraints, and coalition games where agents group dynamically to pursue common goals.
The properties of the distributed management and control techniques are investigated, and they are validated in large-scale simulations of case studies provided by industrial partners. From the validation for the case studies, general conclusions are drawn about the suitability of the proposed distributed management and control mechanisms for certain classes of systems of systems. This provides guidelines for the design of evolving systems of systems with respect to the interplay of local autonomy and global management. The project includes the development of methods and tools for the engineering and implementation of advanced management solutions for systems of systems.
The main outcomes of the project are: Innovation in distributed management methods for complex interconnected systems of systems; Progress in methods for the rigorous analysis and validation of systems of systems; Demonstration of advanced methods in realistic large-scale simulations of real use cases of systems of systems; Reduction of the carbon footprint and of the resource consumption of industry and of power generation and distribution; and Identification of technology gaps.
Our main tasks
- Definition of case studies to achieve a complexity which is challenging but still within the scope of the project’s methods.
- Development of simulation models for the electrical grid of the city of Zagreb as case study.
- Definition of roadmaps for future developments in complex systems of systems (SoS) engineering and management.
- Identification of exploitation opportunities, and development of a general market study to the initial exploitation plan.
AYESA | BASF ETH EUTEXOO | IDENER.AI | INEOS INNO TECHNICAL UNIVERSITY OF DORTMUND UNIVERSITY OF AACHEN UNIVERSITY OF SEVILLE | UNIVERSITY OF ZAGREB
Start date – finish date
10 / 2013 - 09 / 2016
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 611281