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CORNEA SIGNED

Controlling evolutionary dynamics of networked autonomous agents

Total Cost €

EC-Contrib. €

Partnership

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CORNEA project word cloud

Explore the words cloud of the CORNEA project. It provides you a very rough idea of what is the project "CORNEA" about.

tested adapt controllability theory rigorous experimental focal lyapunov construct formulation individual group data evolve experimentation suboptimal nature give foundations fish urgent decisions conventional goals functions consequently scales behaviors networked combination modeled tackle collectively breakthroughs theoretical dynamics unknown technological classes analysed interacting sometimes large validated biological systematic empowered propagate validate outcomes introduce game robotic easily act experimentally inputs autonomous economic pursuit networks stabilizability learning actively time stochastic difficulties strategies dynamical cognitive self disciplinary guided evolutionary actions collective multiple conditional agents social surprising technologies laws

Project "CORNEA" data sheet

The following table provides information about the project.

Coordinator	RIJKSUNIVERSITEIT GRONINGEN Organization address address: Broerstraat 5 city: GRONINGEN postcode: 9712CP website: www.rug.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Netherlands [NL]
Total cost	1˙998˙933 €
EC max contribution	1˙998˙933 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2017-COG
Funding Scheme	ERC-COG
Starting year	2018
Duration (year-month-day)	from 2018-05-01 to 2023-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	RIJKSUNIVERSITEIT GRONINGEN RIJKSUNIVERSITEIT GRONINGEN Organization address address: Broerstraat 5 city: GRONINGEN postcode: 9712CP website: www.rug.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (GRONINGEN)	coordinator	1˙998˙933.00

Map

Project objective

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.

Publications

List of publications.
year	authors and title	journal	last update
2018	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	IFAC-PapersOnLine 51/23	2020-03-23
2019	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
2019	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	Automatica 107	2020-03-23
2019	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
2019	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
2019	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
2019	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
2019	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
2019	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
2018	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
2018	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.