Abstract
In this paper, the exponential synchronization of a class of coupled neural network model under impulsive constraint control is presented. Under impulsive constraint control, several useful linear matrix inequalities (LMIs) are derived by applying Lyapunov function and generalized sector condition. Moreover, under impulsive partial constraint control, a novel sufficient condition guaranteeing exponential synchronization of coupled neural network model is presented. Finally, a numerical simulation is presented to verify the validity of the theoretical analysis results.
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Acknowledgments
This study was funded by National Natural Science Foundation of China (Nos. 61633011, 61374078), Qatar National Research Fund (No. NPRP 8-274-2-107), Graduate Student Research Innovation Project of Chongqing (No. CYB17076), Chongqing Research Program of Basic Research and Frontier Technology (No. cstc2015jcyjBX0052).
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Ouyang, D., Huang, T., Li, C., Chen, C., Li, H. (2018). Impulsive Constraint Control of Coupled Neural Network Model with Actual Saturation. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11307. Springer, Cham. https://doi.org/10.1007/978-3-030-04239-4_17
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DOI: https://doi.org/10.1007/978-3-030-04239-4_17
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