Controlling complex network dynamics using sparse measurements and actuation: Graph-theoretic perspective

Abstract:

This thesis studies the control and estimation of hardwired network processes with sparse actuation and sensing from a topological perspective. This topological characterization is achieved in the context of several evocative linear models for network dynamics. For these models, formal relationships between the network's graph topology and properties of the network's actuated/measured dynamics have been developed.

Año de publicación:

2014

Keywords:

Fuente:

google