Abstract
This chapter examines strong structural controllability of linear-time-invariant networked systems. We provide necessary and sufficient conditions for strong structural controllability involving constrained matchings over the bipartite graph representation of the network. An \(\mathcal{O}(n^{2})\) algorithm to validate if a set of inputs leads to a strongly structurally controllable network and to find such an input set is proposed. The problem of finding such a set with minimal cardinality is shown to be NP-complete. Minimal cardinality results for strong and weak structural controllability are compared.
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Notes
- 1.
A matrix is unreduced upper-Hessenberg if all entries on the first superdiagonal nonzero and all entries above this diagonal are zero.
- 2.
The bandwidth of a graph is the minimum \(\max \left \{\left \vert i - j\right \vert \vert \left \{i,j\right \} \in E\right \}\) over all labeling of the nodes.
- 3.
Directed Erdős–Rényi random graphs are randomly generated graphs with an edge \(\left (i,j\right ) \in E\) independently existing with probability p [20]. The mean degree is defined as \(\left \langle k\right \rangle = 2np\).
- 4.
A directed graph is connected if its underlying undirected graph is connected.
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Chapman, A. (2015). Strong Structural Controllability of Networked Dynamics. In: Semi-Autonomous Networks. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-15010-9_8
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DOI: https://doi.org/10.1007/978-3-319-15010-9_8
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