Name
Title | ||
|---|---|---|
A new approach to the stability analysis of continuous-time distributed consensus algorithms. |
Abstract | ||
|---|---|---|
In this letter, we propose a new approach for the stability analysis of distributed continuous-time consensus algorithms in directed networks with time-dependent communication patterns. Instead of using a continuous-time Lyapunov function, we show how to analyze such a continuous-time algorithm by converting it to a discrete-time model. By using this method, we obtain a more general convergence result than existing ones. An example with numerical simulation is also provided to illustrate the theoretical results. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.neunet.2013.06.007 | Neural Networks |
Keywords | Field | DocType |
Distributed algorithms,Multiagent systems,Consensus,Discontinuous,Switching,Almost sure convergence | Convergence (routing),Convergence of random variables,Computer simulation,Computer science,Theoretical computer science,Multi-agent system,Artificial intelligence,Artificial neural network,Consensus,Lyapunov function,Algorithm,Distributed algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
46 | null | 0893-6080 |
Citations | PageRank | References |
3 | 0.44 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Liu | 1 | 198 | 11.13 |
| Wenlian Lu | 2 | 1331 | 93.47 |
| Tianping Chen | 3 | 3095 | 250.77 |