Article ID Journal Published Year Pages File Type
6863406 Neural Networks 2013 7 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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