摘要
以一类具有状态饱和与非线性耦合的复杂网络为研究对象,针对无线通信传输负荷大的问题,提出一种动态事件传输机制下的递推滤波算法,以达到保证滤波性能的同时减轻通信网络传输负担的目的.首先,构造此类时变复杂网络的数学模型;然后,设计具有较低保守性的递推滤波器,计算滤波器的增益,并对所设计的递推滤波算法进行有界性分析;最后,给出一个仿真实例.从仿真结果可以看出,动态事件触发机制的引入能够降低无线通信网络传输负担,达到节约能量的目的;同时,所提出的递推滤波算法能够保证此类复杂网络在动态事件触发机制下仍具有较好的滤波效果,验证了所提出算法的有效性.
As for the problem of heavy transmission burden of wireless communication,a recursive filtering algorithm based on dynamic-event transmission mechanism is proposed for a class of complex networks with state saturations and nonlinear coupling strengths in this paper,so as to guarantee the filtering performance and reduce the transmission burden of wireless communication networks.Firstly,the mathematical model of this class of the complex network is constructed.Then,a recursive filter with less conservatism is designed,the gain of the recursive filter is calculated and the performance of the proposed recursive filtering algorithm is analyzed.Finally,a simulation example is implemented.The simulation results shows that the introduction of dynamic event-triggered mechanism can reduce the transmission burden of the wireless communication network and achieve the purpose of saving energy.The recursive filtering algorithm proposed can ensure that this class of complex networks possess good filtering effect under the dynamic event-triggered mechanism,which verifies the effectiveness of the proposed algorithm.
作者
高宏宇
张曼容
姜博
董宏丽
GAO Hong-yu;ZHANG Man-rong;JIANG Bo;DONG Hong-li(School of Electrical Information Engineering,Northeast Petroleum University,Daqing 163318,China;Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318,China;Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,China)
出处
《控制与决策》
EI
CSCD
北大核心
2022年第2期401-408,共8页
Control and Decision
基金
国家自然科学基金项目(61873058)
黑龙江省自然科学基金项目(ZD2019F001)
东北石油大学青年科学基金项目(2018QNL-30)
大庆市指导性科技计划项目(zd-2019-17).
关键词
动态事件触发机制
复杂网络
状态饱和
非线性耦合
递推滤波
有界性
dynamic event-triggered mechanism
complex networks
state saturations
nonlinear coupling strengths
recursive filtering
boundedness