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Optimizing Average Controllability of Networked Systems
Published in IEEE
Volume: 2019-December
Pages: 2066 - 2071
In this paper, we consider the controllability of a networked system where each node in the network has higher order linear time-invariant (LTI) dynamics. We employ a quantitative measure for controllability based on average controllability. We relate this metric to the network topology and the dynamics of individual subsystems that constitute each node of the networked system. Using this, we show that, under certain assumptions, the average controllability increases with increased interactions across subsystems in the network. Next, we consider the problem of identifying an appropriate network topology when there are constraints on the number of links that exist in the network. This problem is formulated as a set function optimization problem. We show that for our problem, this set function is a monotone increasing supermodular function. Since maximization of such a function with cardinality constraints is a hard problem, we implement a greedy heuristic to obtain a sub-optimal solution. © 2019 IEEE.
About the journal
JournalData powered by TypesetProceedings of the IEEE Conference on Decision and Control
PublisherData powered by TypesetIEEE
Open AccessNo