Imperial College London
Portrait Picture

Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Fele:2018:10.1016/j.arcontrol.2018.04.008,
author = {Fele, F and De, Paola A and Angeli, D and Strbac, G},
doi = {10.1016/j.arcontrol.2018.04.008},
journal = {Annual Reviews in Control},
pages = {191--204},
title = {A framework for receding-horizon control in infinite-horizon aggregative games},
url = {http://dx.doi.org/10.1016/j.arcontrol.2018.04.008},
volume = {45},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A novel modelling framework is proposed for the analysis of aggregative games on an infinite-time horizon, assuming that players are subject to heterogeneous periodic constraints. A new aggregative equilibrium notion is presented and the strategic behaviour of the agents is analysed under a receding horizon paradigm. The evolution of the strategies predicted and implemented by the players over time is modelled through a discrete-time multi-valued dynamical system. By considering Lyapunov stability notions and applying limit and invariance results for set-valued correspondences, necessary conditions are derived for convergence of a receding horizon map to a periodic equilibrium of the aggregative game. This result is achieved for any (feasible) initial condition, thus ensuring implicit adaptivity of the proposed control framework to real-time variations in the number and parameters of players. Design and implementation of the proposed control strategy are discussed and an example of distributed control for data routing is presented, evaluating its performance in simulation.
AU  - Fele,F
AU  - De,Paola A
AU  - Angeli,D
AU  - Strbac,G
DO  - 10.1016/j.arcontrol.2018.04.008
EP  - 204
PY  - 2018///
SN  - 1367-5788
SP  - 191
TI  - A framework for receding-horizon control in infinite-horizon aggregative games
T2  - Annual Reviews in Control
UR  - http://dx.doi.org/10.1016/j.arcontrol.2018.04.008
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000437957800012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/65534
VL  - 45
ER  -
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