Global Dissipativity and Quasi-Mittag-Leffler Synchronization of Fractional-Order Discontinuous Complex-Valued Neural Networks

被引:14
|
作者
Ding, Zhixia [1 ]
Zhang, Hao [2 ]
Zeng, Zhigang [2 ]
Yang, Le [1 ]
Li, Sai [1 ]
机构
[1] Wuhan Inst Technol, Sch Elect & Informat Engn, Hubei Engn Res Ctr Video Image & HD Project, Wuhan 430205, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Synchronization; Biological neural networks; Neurons; Recurrent neural networks; Laplace equations; Technological innovation; Learning systems; Complex-valued; dissipativity; fractional-order discontinuous neural networks; quasi-Mittag-Leffler synchronization; STABILITY ANALYSIS; CONVERGENCE; DYNAMICS; DELAYS;
D O I
10.1109/TNNLS.2021.3119647
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article is concerned with fractional-order discontinuous complex-valued neural networks (FODCNNs). Based on a new fractional-order inequality, such system is analyzed as a compact entirety without any decomposition in the complex domain which is different from a common method in almost all literature. First, the existence of global Filippov solution is given in the complex domain on the basis of the theories of vector norm and fractional calculus. Successively, by virtue of the nonsmooth analysis and differential inclusion theory, some sufficient conditions are developed to guarantee the global dissipativity and quasi-Mittag-Leffler synchronization of FODCNNs. Furthermore, the error bounds of quasi-Mittag-Leffler synchronization are estimated without reference to the initial values. Especially, our results include some existing integer-order and fractional-order ones as special cases. Finally, numerical examples are given to show the effectiveness of the obtained theories.
引用
收藏
页码:4139 / 4152
页数:14
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