Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6863406 | Neural Networks | 2013 | 7 Pages |
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.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Bo Liu, Wenlian Lu, Tianping Chen,