Abstract
Networks of dynamical systems play an important role in various domains and have motivated many studies on the control and analysis of linear dynamical networks. For linear network models considered in these studies, it is typically pre-determined what signal channels are inputs and what are outputs. These models do not capture the practical need to incorporate different experimental situations, where different selections of input and output channels are applied to the same network. Moreover, a unified view of different network models is lacking. This work makes an initial step towards addressing the above issues by taking a behavioral perspective, where input and output channels are not pre-determined. The focus of this work is on behavioral network models with only external variables. By exploiting the concept of hypergraphs, novel dual graphical representations, called system graphs and signal graphs, are introduced for behavioral networks. Moreover, connections between behavioral network models and structural vector autoregressive models are established. In addition to their connections in graphical representations, it is shown that the regularity of interconnections is an essential assumption when choosing a structural vector autoregressive model.
Original language | English |
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Title of host publication | 2024 European Control Conference, ECC 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 2927-2933 |
Number of pages | 7 |
ISBN (Electronic) | 978-3-9071-4410-7 |
DOIs | |
Publication status | Published - 24 Jul 2024 |
Event | 22nd European Control Conference 2024, ECC 2024 - KTH Royal Institute of Technology, Stockholm, Sweden Duration: 25 Jun 2024 → 28 Jun 2024 Conference number: 22 https://ecc24.euca-ecc.org/ |
Conference
Conference | 22nd European Control Conference 2024, ECC 2024 |
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Abbreviated title | ECC 2024 |
Country/Territory | Sweden |
City | Stockholm |
Period | 25/06/24 → 28/06/24 |
Internet address |