Large-Scale Optimization for Distributed Control
This PhD project investigate network topology such as hierarchical network structure, e.g. chordal graphs, for scalable computations with applications to control in a wide sense, e.g. system identification, machine learning, control design, and estimation
Chordal graph with associated clique tree for distributed computationsWe also study how privacy affects the achievable performance and what amount of communication that is needed between different computational agents in order to achieve the most efficient overall computations.
Different type of computational platforms will be investigated. We also also develop efficient optimization code for generic problem formulations.
Relevant applications are within infrastructure networks for traffic, water, gas, electricity, and building control.
