计算机科学
滤波器(信号处理)
算法
纸卷
非线性系统
集合(抽象数据类型)
事件(粒子物理)
模糊逻辑
过滤问题
数据挖掘
实时计算
人工智能
滤波器设计
计算机视觉
工程类
量子力学
机械工程
物理
程序设计语言
作者
Huaicheng Yan,Xiang Xu,Hao Zhang,Fuwen Yang
标识
DOI:10.1016/j.jfranklin.2016.05.019
摘要
This paper is concerned with the problem of distributed event-triggered H∞ filtering over sensor networks for a class of discrete-time nonlinear system modeled by a set of linear Takagi–Sugeno(T–S) fuzzy models. In the filtering network, every individual filter receives the measurement information from the nonlinear plant, meanwhile, each filter can exchange the information with the other filters. Event-triggered communication scheme is applied to determine whether or not the current instant information should be transmitted to the quantizer. Distributed fuzzy filters are designed to guarantee the H∞ disturbance attenuation level for the error estimation of the filtering network. Finally, a simulation example is provided to illustrate the effectiveness of the proposed filter design approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI