Submodularity of energy related controllability metrics

Fabrizio L. Cortesi,T. Summers,J. Lygeros

Published 2014 in IEEE Conference on Decision and Control

ABSTRACT

The quantification of controllability and observability has recently received new interest in the context of large, complex networks of dynamical systems. A fundamental but computationally difficult problem is the placement or selection of actuators and sensors that optimize real-valued controllability and observability metrics of the network. We show that several classes of energy related metrics associated with the controllability Gramian in linear dynamical systems have a strong structural property, called submodularity, which allows for an approximation guarantee by using a simple greedy heuristic for their maximization. The results are illustrated for randomly generated systems and placement of power electronic actuators in a model of the European power grid.

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