| KEYWORD |
Area Engineering
Sparse Optimal Control of Dynamics over Networks
Thesis in external company
Reference persons FABRIZIO DABBENE
Description The thesis focuses on a dynamical network model in presence of multiple competitors with different states and regular agents that adjust its state according to a distributed consensus protocol. The main goal of work is to design parsimonious controllers, acting on few nodes/edges only, in order to lead (a) the dynamics towards a desired pattern (b) qualitative changes to the limit profile (e.g., merge clusters together) (c) quantitative changes to some observable (e.g., average opinion, target nodes).
[E. Yildiz, D. Acemoglu, A. Ozdaglar, A. Saberi, and A. Scaglione. Discrete opinion dynamics with stubborn agents. Technical Report 2858, LIDS, MIT, 2011]
[Massimo Fornasier, Learning and Sparse Control of Multiagent Systems]
See also thesis proposals social networks.pdf
Required skills Convex optimization, probability
Deadline 06/10/2018
PROPONI LA TUA CANDIDATURA