The Controllability and Structural Controllability of Laplacian Dynamics
Jijun Qu, Zhijian Ji, Yungang Liu, and Chong Lin

TL;DR
This paper analyzes the controllability and structural controllability of Laplacian dynamics in networks, revealing how eigenvalue multiplicity, topology, and weight configurations influence controllability properties.
Contribution
It provides new theoretical insights into eigenvalue multiplicity, controllable subspace invariance, and conditions for strong structural controllability in Laplacian-based systems.
Findings
Eigenvalue zero multiplicity depends on network cycles and node pairs.
Controllable subspace remains invariant under certain weight variations.
Connectivity without inaccessible nodes is necessary and sufficient for structural controllability.
Abstract
In this paper, classic controllability and structural controllability under two protocols are investigated. For classic controllability, the multiplicity of eigenvalue zero of general Laplacian matrix is shown to be determined by the sum of the numbers of zero circles, identical nodes and opposite pairs, while it is always simple for the Laplacian with diagonal entries in absolute form. For a fixed structurally balanced topology, the controllable subspace is proved to be invariant even if the antagonistic weights are selected differently under the corresponding protocol with . For a graph expanded from a star graph rooted from a single leader, the dimension of controllable subspace is two under the protocol associated with . In addition, the system is structurally controllable under both protocols if and only if the topology without unaccessible nodes is connected. As…
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Taxonomy
TopicsQuantum optics and atomic interactions · Neural Networks Stability and Synchronization · Opinion Dynamics and Social Influence
