Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407621 | Neurocomputing | 2012 | 9 Pages |
Abstract
In this paper, the problem of robust adaptive stabilization of uncertain stochastic jumping dynamical networks with mode-dependent mixed delays is investigated. The mixed delays are composed of time-varying delays and distributed delays, both of which are mode dependent. By adaptive feedback technique, several sufficient criteria are derived to ensure the global asymptotical stability in mean square for the uncertain stochastic dynamical networks with mixed delays and Markovian jumping parameters. The controller is easy to implement in practical situations. In the end, the corresponding simulation results are constructed to support the theoretical results in this paper.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jinyong Yu, Guanghui Sun,