Synchronization Criteria for Discontinuous Neural Networks With Mixed Delays via Functional Differential Inclusions

被引：29
作者：
Wang, Dongshu [1 ]
Huang, Lihong [2 ,3 ]
Tang, Longkun [1 ]
机构：
[1] Huaqiao Univ, Sch Math Sci, Quanzhou 362021, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[3] Changsha Univ Sci & Technol, Changsha 410014, Hunan, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2018年 / 29卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Adaptive discontinuous controller; delay-dependent discontinuous controller; delay-independent discontinuous controller; discontinuous neuron activation; functional differential inclusions; global exponential synchronization; GLOBAL EXPONENTIAL STABILITY; DYNAMICAL BEHAVIORS; CONVERGENCE; ACTIVATIONS; SYSTEMS;
D O I：
10.1109/TNNLS.2017.2688327
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the issue of global exponential synchronization for a class of general neural networks that contains discontinuous activation functions and mixed time delays. Functional differential inclusions and nonsmooth analysis theories are used as bases to design discontinuous controllers, such that the discontinuous neural networks can be exponential complete synchronized. This novel approach and its applicability to neural networks with continuous activations are also easily verified. Several numerical examples demonstrate the practicality and effectiveness of the design method.
引用
收藏
页码：1809 / 1821
页数：13
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