Name
Abstract | ||
|---|---|---|
This paper introduces notions of abstraction and realization for dynamic networks. These processes generate dynamically equivalent representations of a system, but with varying degrees of structural detail. Nuanced definitions and associated conditions for maintaining well-posedness for these multi-resolution representations of a dynamic system are then detailed, ensuring that hierarchies of network representations are sensible as multi-resolution models of dynamic networks. Although the ideas are developed precisely here for LTI networks, many of the concepts remain fundamental in the nonlinear setting. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CDC.2018.8619098 | 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) |
Field | DocType | ISSN |
Mathematical optimization,Nonlinear system,Abstraction,Computer science,Theoretical computer science,Hierarchy | Conference | 0743-1546 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathan Woodbury | 1 | 0 | 0.68 |
| Arne G. Dankers | 2 | 78 | 10.25 |
| Sean Warnick | 3 | 198 | 25.76 |