Passivity Analysis of Coupled Stochastic Neural Networks with Multiweights
| Autor: | Xuemei Sun, Shun-Yan Ren, Xun-Wu Yin, Wen-He Song, Min Cao, Cheng-Dong Yang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Article Subject Computer science Stochastic process Passivity 02 engineering and technology 020901 industrial engineering & automation Lyapunov functional Control theory Modeling and Simulation Synchronization (computer science) QA1-939 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Stochastic neural network Mathematics |
| Zdroj: | Discrete Dynamics in Nature and Society, Vol 2021 (2021) |
| ISSN: | 1026-0226 |
| DOI: | 10.1155/2021/9688627 |
| Popis: | In this paper, we devote to the investigation of passivity in two types of coupled stochastic neural networks (CSNNs) with multiweights and incompatible input and output dimensions. First, some new definitions of passivity are proposed for stochastic systems that may have incompatible input and output dimensions. By utilizing stochastic analysis techniques and Lyapunov functional method, several sufficient conditions are respectively developed for ensuring that CSNNs without and with multiple delay couplings can realize passivity. Besides, the synchronization criteria for CSNNs with multiweights are established by employing the results of output-strictly passivity. Finally, two simulation examples are given to illustrate the validity of the theoretical results. |
| Databáze: | OpenAIRE |
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