Explore the words cloud of the CORNEA project. It provides you a very rough idea of what is the project "CORNEA" about.
The following table provides information about the project.
|Coordinator Country||Netherlands [NL]|
|Total cost||1˙998˙933 €|
|EC max contribution||1˙998˙933 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-05-01 to 2023-04-30|
Take a look of project's partnership.
|1||RIJKSUNIVERSITEIT GRONINGEN||NL (GRONINGEN)||coordinator||1˙998˙933.00|
Large-scale technological, biological, economic, and social complex systems act as complex networks of interacting autonomous agents. Large numbers of interacting agents making self-interested decisions can result in highly complex, sometimes surprising, and often suboptimal, collective behaviors. Empowered by recent breakthroughs in data-driven cognitive learning technologies, networked agents collectively give rise to evolutionary dynamics that cannot be easily modeled, analysed and/or controlled using current systems and control theory. Consequently, there is an urgent need to develop new theoretical foundations to tackle the emerging challenging control problems associated with evolutionary dynamics for networked autonomous agents.
The aim of this project is to develop a rigorous theory for the control of evolutionary dynamics so that interacting autonomous agents can be guided to solve group tasks through the pursuit of individual goals in an evolutionary dynamical process. The theory will then be tested, validated and improved against experimental results using robotic fish.
To achieve the aim, I will: (1) develop a general formulation for stochastic evolutionary dynamics with control inputs, enabling the study on controllability and stabilizability for evolutionary processes; (2) introduce stochastic control Lyapunov functions to design control laws; (3) construct new classes of conditional strategies that may propagate controlled actions effectively from focal agents in multiple time scales; and (4) validate experimentally on tasks with unknown difficulties that require a group of robotic fish to evolve and adapt.
The project will result in a major advance from the conventional usage of evolutionary game theory with the systematic design to actively control evolutionary outcomes. The combination of theory with experimentation and the multi-disciplinary nature of the approach will lead to new applications of autonomous robotic systems.
|year||authors and title||journal||last update|
Yu Kawano, Ming Cao
Differential Privacy and Qualitative Privacy Analysis for Nonlinear Dynamical Systems
published pages: 52-57, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.12.010
James Riehl, Pouria Ramazi, Ming Cao
Incentive-Based Control of Asynchronous Best-Response Dynamics on Binary Decision Networks
published pages: 727-736, ISSN: 2325-5870, DOI: 10.1109/tcns.2018.2873166
|IEEE Transactions on Control of Network Systems 6/2||2020-03-23|
Mengbin Ye, Yuzhen Qin, Alain Govaert, Brian D.O. Anderson, Ming Cao
An influence network model to study discrepancies in expressed and private opinions
published pages: 371-381, ISSN: 0005-1098, DOI: 10.1016/j.automatica.2019.05.059
Yu Kawano, Ming Cao
Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations
published pages: 4607-4614, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2901822
|IEEE Transactions on Automatic Control 64/11||2020-03-23|
Cenedese, Carlo; Belgioioso, Giuseppe; Grammatico, Sergio; Cao, Ming
An asynchronous, forward-backward, distributed generalized nash equilibrium seeking algorithm
published pages: , ISSN: , DOI: 10.13140/rg.2.2.27907.35364
|2019 18th European Control Conference, ECC 2019, 3508 - 3513 5||2020-03-23|
Brian D. O. Anderson, Mengbin Ye
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks
published pages: 129-149, ISSN: 1476-8186, DOI: 10.1007/s11633-019-1169-8
|International Journal of Automation and Computing 16/2||2020-03-23|
Mengbin Ye, Ji Liu, Lili Wang, Brian D. O. Anderson, Ming Cao
Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks
published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2961998
|IEEE Transactions on Automatic Control||2020-03-23|
Yu Kawano, Lulu Gong, Brian D. O. Anderson, Ming Cao
Evolutionary Dynamics of Two Communities Under Environmental Feedback
published pages: 254-259, ISSN: 2475-1456, DOI: 10.1109/lcsys.2018.2866775
|IEEE Control Systems Letters 3/2||2020-03-23|
Zhongqi Sun, Vahab Rostampour, Ming Cao
Self-Triggered Stochastic MPC for Linear Systems With Disturbances
published pages: 787-792, ISSN: 2475-1456, DOI: 10.1109/lcsys.2019.2918763
|IEEE Control Systems Letters 3/4||2020-03-23|
James R. Riehl, Ming Cao
A Centrality-Based Security Game for Multihop Networks
published pages: 1507-1516, ISSN: 2325-5870, DOI: 10.1109/tcns.2017.2728202
|IEEE Transactions on Control of Network Systems 5/4||2020-03-23|
Satoshi Kawamura, Kai Cai, Mengbin Ye, Zhiyun Lin
Tight bound on parameter of surplus-based averaging algorithm over balanced digraphs
published pages: 1-8, ISSN: 0020-7179, DOI: 10.1080/00207179.2018.1535200
|International Journal of Control||2020-03-23|
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The information about "CORNEA" are provided by the European Opendata Portal: CORDIS opendata.
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