本文選題：指數(shù)同步 + 空間擴散　； 參考：《黑龍江大學(xué)自然科學(xué)學(xué)報》2017年04期

【摘要】：研究一類具有混合時滯和leakage時滯的隨機反應(yīng)擴散神經(jīng)網(wǎng)絡(luò)在間歇控制下的全局指數(shù)同步問題。構(gòu)造適當?shù)腖yapunov泛函,結(jié)合隨機分析的技巧,得到系統(tǒng)在周期性間歇控制下實現(xiàn)指數(shù)同步的條件。與已有的結(jié)論相比,本結(jié)果去掉了對混和時滯的限制條件,降低了同步條件的保守性。數(shù)值模擬驗證了所得結(jié)論的有效性。
[Abstract]:The global exponential synchronization problem for a class of stochastic reaction-diffusion neural networks with mixed delay and leakage delay under intermittent control is studied. An appropriate Lyapunov functional is constructed and the condition of exponential synchronization under periodic intermittent control is obtained by combining the technique of stochastic analysis. Compared with the existing results, the proposed results remove the constraints on mixed delays and reduce the conservatism of synchronization conditions. The validity of the conclusion is verified by numerical simulation.
【作者單位】： 軍械工程學(xué)院應(yīng)用數(shù)學(xué)研究所;
【基金】：Supported by the National Natural Science Foundation of China(11371368;61305076) the Basic Courses Department of Mechanical Engineering College Foundation(Jcky1507)
【分類號】：O175

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本文編號：2044832