Imperial College London
Portrait Picture

Dr Dante Kalise

Faculty of Natural Sciences, Department of Mathematics

Reader in Computational Optimisation and Control
 
 
 
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Contact

 

d.kalise-balza Website CV

 
 
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Location

 

742Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Albi:2018:10.1016/j.ifacol.2018.06.020,
author = {Albi, G and Kalise, D},
doi = {10.1016/j.ifacol.2018.06.020},
journal = {IFAC-PapersOnLine},
pages = {86--91},
title = {(Sub)Optimal feedback control of mean field multi-population dynamics},
url = {http://dx.doi.org/10.1016/j.ifacol.2018.06.020},
volume = {51},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We study a multiscale approach for the control of agent-based, two-population models. The control variable acts over one population of leaders, which influence the population of followers via the coupling generated by their interaction. We cast a quadratic optimal control problem for the large-scale microscale model, which is approximated via a Boltzmann approach. By sampling solutions of the optimal control problem associated to binary two-population dynamics, we generate sub-optimal control laws for the kinetic limit of the multi-population model. We present numerical experiments related to opinion dynamics assessing the performance of the proposed control design.
AU  - Albi,G
AU  - Kalise,D
DO  - 10.1016/j.ifacol.2018.06.020
EP  - 91
PY  - 2018///
SN  - 2405-8963
SP  - 86
TI  - (Sub)Optimal feedback control of mean field multi-population dynamics
T2  - IFAC-PapersOnLine
UR  - http://dx.doi.org/10.1016/j.ifacol.2018.06.020
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000435701200016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/65399
VL  - 51
ER  -
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