Abstract
In this paper, a novel impulsive control law is proposed for synchronization of stochastic discrete complex networks with time delays and switching topologies, where average dwell time and average impulsive interval are taken into account. The side effect of time delays is estimated by Lyapunov-Razumikhin technique, which quantitatively gives the upper bound to increase the rate of Lyapunov function. By considering the compensation of decreasing interval, a better impulsive control law is recast in terms of average dwell time and average impulsive interval. Detailed results from a numerical illustrative example are presented and discussed. Finally, some relevant conclusions are drawn. © 2014 Elsevier Ltd.
| Original language | English |
|---|---|
| Pages (from-to) | 85-94 |
| Journal | Neural Networks |
| Volume | 54 |
| DOIs | |
| Publication status | Published - Jun 2014 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This publication was made possible by NPRP grant NPRP 4-1162-1-181 from the Qatar National Research Fund (a member of Qatar Foundation).
Research Keywords
- Average dwell time
- Average impulsive interval
- Impulsive synchronization
- Stochastic complex networks
- Switching topology
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