Synchronization of Complex Dynamical Networks Subject to Noisy Sampling Interval and Packet Loss
| Autor: | Zhipei Hu, Peng Shi, Hongru Ren |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Computer Networks and Communications
Computer science Stochastic process Sampling (statistics) Sampling error 02 engineering and technology Computer Science Applications Artificial Intelligence Packet loss Control theory Synchronization (computer science) Categorical distribution 0202 electrical engineering electronic engineering information engineering Probability distribution 020201 artificial intelligence & image processing Algorithm Software Randomness |
| Zdroj: | IEEE Transactions on Neural Networks and Learning Systems. 33:3216-3226 |
| ISSN: | 2162-2388 2162-237X |
| DOI: | 10.1109/tnnls.2021.3051052 |
| Popis: | This article focuses on the sampled-data synchronization issue for a class of complex dynamical networks (CDNs) subject to noisy sampling intervals and successive packet losses. The sampling intervals are subject to noisy perturbations, and categorical distribution is used to characterize the sampling errors of noisy sampling intervals. By means of the input delay approach, the CDN under consideration is first converted into a delay system with delayed input subject to dual randomness and probability distribution characteristic. To verify the probability distribution characteristic of the delayed input, a novel characterization method is proposed, which is not the same as that of some existing literature. Based on this, a unified framework is then established. By recurring to the techniques of stochastic analysis, a probability-distribution-dependent controller is designed to guarantee the mean-square exponential synchronization of the error dynamical network. Subsequently, a special model is considered where only the lower and upper bounds of delayed input are utilized. Finally, to verify the analysis results and testify the effectiveness and superiority of the designed synchronization algorithm, a numerical example and an example using Chua's circuit are given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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