期刊
NEURAL PROCESSING LETTERS
卷 50, 期 2, 页码 1773-1787出版社
SPRINGER
DOI: 10.1007/s11063-018-9958-6
关键词
Finite-time synchronization; Complexed-valued neural networks; Multiple time-varying delays; Infinite distributed delays; Lyapunov-Krasovskii function
资金
- National Natural Science Foundation of China [61403050]
- science and technology commission project of Chongqing [cstc2017jcyjA1082, cstc2018jcyjAX0810]
- Scientific and Technological Research Program of Chongqing Municipal Education Commission [KJ1501412, KJ1601401, KJ1601410]
- Foundation of CQUE [KY201702A, KY201720B]
This paper investigates finite-time synchronization of complexed-valued neural networks with multiple time-varying delays and infinite distributed delays. By separating the complex-valued neural networks into the real and the imaginary parts, the corresponding equivalent real-valued systems are obtained. Some sufficient conditions are derived for finite-time synchronization of the drive-response system based on the new Lyapunov-Krasovskii function and the new analysis techniques. Numerical examples demonstrate the effectiveness of the theoretical results.
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