Project description
A world built for interacting subsystems
Large-scale and interconnected infrastructure such as power grids and transportation systems is all around us. Modern society is built on complex ‘systems of systems’ that possess features such as rationality and autonomy of the agents. Moreover, these systems interact with each other and require advanced coordination and control actions to remain safe and efficient. To ensure safety and efficient operation of complex systems with possibly noncooperative (selfish) agents, a paradigm shift is necessary. In this context, the EU-funded COSMOS project will embrace dynamic game theory and pursue a twofold scientific and technical objective: it will devise a unifying mathematical framework for the analysis and control of complex systems of systems, and it will construct automated computational methods that will smooth out issues arising in such systems.
Objective
Modern society is based on large-scale, interconnected, complex infrastructures, e.g. power, transportation and communication systems, with network structure and interacting subsystems controlled by autonomous components and human users, generically called “agents”. These systems possess the features of “complex” systems of systems (C-SoS), such as rationality and autonomy of the agents, and require effective multi-agent coordination and control actions for their safe and efficient operation. Multi-agent optimization has attracted an extraordinary amount of research attention as a methodology to let agents cooperatively coordinate their actions, but it is inappropriate and ineffective for systems with noncooperative (selfish) agents, virtually all modern C-SoS.
A paradigm shift is necessary to ensure safe and efficient operation of complex systems with possibly noncooperative agents. With this aim, COSMOS shall embrace dynamic game theory and pursue a twofold scientific and technical objective: 1) to conceive a unifying framework for the analysis and control of complex, multi-agent, mixed cooperative and noncooperative, systems; 2) to provide automated computational methods for solving coordination, decision and control problems in C-SoS. To achieve these goals, COSMOS will adopt a novel operator-theoretic approach, and integrate methods within and across dynamic game theory, networked multi-agent systems and control, statistical learning, stochastic and mixed-integer optimization.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
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Funding Scheme
ERC-STG - Starting GrantHost institution
2628 CN Delft
Netherlands