Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4626248 | Applied Mathematics and Computation | 2015 | 13 Pages |
Abstract
In this study, the problem of finite-time consensus in probability for second-order stochastic multi-agent systems with non-identical nonlinear dynamics is investigated. Based on the stochastic finite-time stability theorems and adding a power integrator technique, we propose the distributed control algorithm for the stochastic multi-agent systems, which can guarantee all agents converge to consensus in finite time with probability one under an undirected graph. Two simulation examples are presented to demonstrate the effectiveness of the proposed methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lin Zhao, Yingmin Jia,