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.
Submodularity of energy related controllability metrics
Fabrizio L. Cortesi,T. Summers,J. Lygeros
Published 2014 in IEEE Conference on Decision and Control
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- Publication year
2014
- Venue
IEEE Conference on Decision and Control
- Publication date
2014-03-25
- Fields of study
Mathematics, Computer Science, Engineering
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