基于事件触发机制的神经网络同步控制  

Synchronous control of neural network based on event-triggered mechanism

作　　者：葛超 常晨蕾 姚征 苏皓 GE Chao;CHANG Chenlei;YAO Zheng;SU Hao(College of Electrical Engineering,North China University of Science and Technology,Tangshan Hebei 063210,China;Tangshan Key Laboratory of Semiconductor Integrated Circuits,North China University of Science and Technology,Tangshan Hebei 063210,China)

机构地区：[1]华北理工大学电气工程学院,河北唐山063210 [2]华北理工大学唐山市半导体集成电路重点实验室,河北唐山063210

出　　处：《计算机应用》2023年第5期1641-1646,共6页journal of Computer Applications

基　　金：河北省自然科学基金资助项目(F2021209006)。

摘　　要：对于混合时滞神经网络同步控制中控制器存在随机摄动的问题,提出一种基于事件触发机制的非脆弱控制器。首先,使用一个服从伯努利分布的随机变量描述控制器增益摄动存在的随机性;其次,在神经网络同步控制过程中引入事件触发机制;接着,构造一个新颖的双边李雅普诺夫函数,充分考虑系统状态信息,同时利用改进的积分不等式对泛函导数进行放缩,得到同步误差系统指数稳定性的充分条件;最后,基于解耦技术设计了非脆弱控制器。通过仿真实例验证了所提控制器的有效性。实验结果表明,在四罐系统中,在相同采样周期下,与现有的指数衰减系数相比,所提控制器获得的指数衰减系数提升了0.16。Concerning the problem of random perturbation of controller in synchronous control of neural network with mixed delays,a non-fragile controller based on event-triggered mechanism was proposed.Firstly,a random variable obeying Bernoulli distribution was used to describe the randomness of the existence of controller gain disturbance.Secondly,the event-triggered mechanism was introduced in the synchronous control process of the neural network.Next,a novel bilateral Lyapunov function was constructed to fully consider the system status information,while the functional derivatives were scaled by an improved integral inequality to obtain sufficient conditions for the exponential stability of the synchronization error system.Finally,a non-fragile controller was designed based on the decoupling technique.The effectiveness of the proposed controller was verified by simulation examples.Experimental results show that compared with the existing exponential attenuation coefficient under the same sampling period in the four-tank system,the exponential attenuation coefficient obtained by the proposed controller is improved by 0.16.

关 键 词：神经网络 事件触发机制 指数同步 非脆弱控制器 李雅普诺夫函数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]