Imperial College London
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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

@inproceedings{Herty:2018:10.1109/ICCA.2018.8444303,
author = {Herty, M and Kalise, D},
doi = {10.1109/ICCA.2018.8444303},
pages = {556--561},
publisher = {IEEE},
title = {Suboptimal nonlinear feedback control laws for collective dynamics},
url = {http://dx.doi.org/10.1109/ICCA.2018.8444303},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We present feedback control methodologies for the stabilization of nonlinear collective dynamics. The proposed controllers circumvent the curse of dimensionality associated to dynamic programming of large-scale nonlinear dynamics by means of different structural assumptions on the nonlinearity and the associated Hamilton-Jacobi-Bellman equation. We explore a power series expansion method, and a state-dependent Riccati equation approach. The proposed designs are studied for a relaxed optimal power flow model, and for binary interactions arising in opinion and consensus dynamics.
AU  - Herty,M
AU  - Kalise,D
DO  - 10.1109/ICCA.2018.8444303
EP  - 561
PB  - IEEE
PY  - 2018///
SN  - 1948-3449
SP  - 556
TI  - Suboptimal nonlinear feedback control laws for collective dynamics
UR  - http://dx.doi.org/10.1109/ICCA.2018.8444303
UR  - http://hdl.handle.net/10044/1/63007
ER  -
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