Journal
COMMUNICATIONS IN THEORETICAL PHYSICS
Volume 74, Issue 12, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1572-9494/ac8bce
Keywords
complex-valued inertial neural networks; polynomial synchronization; multi-proportional delays; non-separation approach
Categories
Funding
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province of China
- Research Fund for the Taishan Scholar Project of Shandong Province of China
- Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China
- SDUST Research Fund
- [61503222]
- [62173214]
- [ZR2021MF100]
- [2019KJI005]
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This paper investigates the polynomial synchronization problem of complex-valued inertial neural networks with multi-proportional delays. It analyzes the problem using the non-separation method. Firstly, an exponential transformation is applied and an appropriate controller is designed. Then, a new sufficient criterion for polynomial synchronization is derived using the Lyapunov function approach and inequalities techniques. A numerical example is provided to illustrate the effectiveness of the obtained result.
This paper investigates the polynomial synchronization (PS) problem of complex-valued inertial neural networks with multi-proportional delays. It is analyzed based on the non-separation method. Firstly, an exponential transformation is applied and an appropriate controller is designed. Then, a new sufficient criterion for PS of the considered system is derived by the Lyapunov function approach and some inequalities techniques. In the end, a numerical example is given to illustrate the effectiveness of the obtained result.
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