Name
Abstract | ||
|---|---|---|
We advocate and motivate in this paper a general framework for studying dynamical networks with both node (agent) and edge (communication) dynamics. Specifically, the agents interact with each other via transfer incident systems and dynamical communication channels. The potential of using the proposed framework to model network problems and architectures is demonstrated by a concrete example. The framework facilitates the study of stability and performance of various network dynamics. An application to angle stability of electrical power networks involving locally positive feedbacks is discussed as an illustrating example. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Electric power,Mathematical optimization,Network dynamics,Computer science,Communication channel,Transfer function,Distributed computing |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Wang | 1 | 101 | 40.29 |
| Wei Chen | 2 | 6 | 6.29 |
| Sei Zhen Khong | 3 | 113 | 18.92 |
| Ji Liu | 4 | 146 | 26.61 |
| Tamer Basar | 5 | 3497 | 402.11 |
| li qiu | 6 | 52 | 12.58 |