Pinning control of networks: dimensionality reduction through simultaneous block-diagonalization of matrices
Shirin Panahi, Matteo Lodi, Marco Storace, Francesco Sorrentino

TL;DR
This paper introduces a novel approach using simultaneous block diagonalization to simplify the stability analysis of network pinning control, accounting for different coupling types and revealing key factors influencing network synchronization.
Contribution
It develops a dimensionality reduction technique for stability analysis in networks with mixed coupling types, using simultaneous block diagonalization to decompose the problem into independent subproblems.
Findings
Stability depends mainly on a single quotient controllable block in many networks.
The number and position of pinned nodes influence the structure of the stability equations.
The method decouples the stability problem into four independent sets of equations.
Abstract
In this paper, we study the network pinning control problem in the presence of two different types of coupling: (i) node-to-node coupling among the network nodes and (ii) input-to-node coupling from the source node to the `pinned nodes'. Previous work has mainly focused on the case that (i) and (ii) are of the same type. We decouple the stability analysis of the target synchronous solution into subproblems of the lowest dimension by using the techniques of simultaneous block diagonalization (SBD) of matrices. Interestingly, we obtain two different types of blocks, driven and undriven. The overall dimension of the driven blocks is equal to the dimension of an appropriately defined controllable subspace, while all the remaining undriven blocks are scalar. Our main result is a decomposition of the stability problem into four independent sets of equations, which we call quotient…
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Matrix Theory and Algorithms · Magnetism in coordination complexes
