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{Bailo:2018:10.1016/j.ifacol.2018.07.245,
author = {Bailo, R and Bongini, M and Carrillo, JA and Kalise, D},
doi = {10.1016/j.ifacol.2018.07.245},
journal = {IFAC-PapersOnLine},
pages = {1--6},
title = {Optimal consensus control of the Cucker-Smale model},
url = {http://dx.doi.org/10.1016/j.ifacol.2018.07.245},
volume = {51},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We study the numerical realisation of optimal consensus control laws for agent-based models. For a nonlinear multi-agent system of Cucker-Smale type, consensus control is cast as a dynamic optimisation problem for which we derive first-order necessary optimality conditions. In the case of a smooth penalisation of the control energy, the optimality system is numerically approximated via a gradient-descent method. For sparsity promoting, non-smooth l1-norm control penalisations, the optimal controllers are realised by means of heuristic methods. For an increasing number of agents, we discuss the approximation of the consensus control problem by following a mean-field modelling approach.
AU  - Bailo,R
AU  - Bongini,M
AU  - Carrillo,JA
AU  - Kalise,D
DO  - 10.1016/j.ifacol.2018.07.245
EP  - 6
PY  - 2018///
SN  - 2405-8963
SP  - 1
TI  - Optimal consensus control of the Cucker-Smale model
T2  - IFAC-PapersOnLine
UR  - http://dx.doi.org/10.1016/j.ifacol.2018.07.245
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000443321500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/62867
VL  - 51
ER  -
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