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Cited by 171

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Controllability and Observability of Grid Graphs via Reduction and Symmetries

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Notarstefano, Giuseppe, Parlangeli, Gianfranco·2013·IEEE Transactions on Automatic Control

Abstract

In this paper, we investigate the controllability and observability properties of a family of linear dynamical systems, whose structure is induced by the Laplacian of a grid graph. This analysis is motivated by several applications in network control and estimation, quantum computation and discretization of partial differential equations. Specifically, we characterize the structure of the grid eigenvectors by means of suitable decompositions of the graph. For each eigenvalue, based on its multiplicity and on suitable symmetries of the corresponding eigenvectors, we provide necessary and sufficient conditions to characterize all and only the nodes from which the induced dynamical system is controllable (observable). We discuss the proposed criteria and show, through suitable examples, how such criteria reduce the complexity of the controllability (respectively, observability) analysis of the grid.

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Metadata

Authors
Notarstefano, G., & Parlangeli, G.
Venue
IEEE Transactions on Automatic Control
Published
2013-07
Volume
58
Issue
7
Pages
1719-1731
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W2168109446
Cited by
171
References
3
FWCI
23.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Controllability and Observability of Grid Graphs via Reduction and Symmetries. https://app.cochat.ai/papers/10.1109/tac.2013.2241493
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Notarstefano, G., & Parlangeli, G. (2013). Controllability and Observability of Grid Graphs via Reduction and Symmetries. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2013.2241493

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.