文献类型：期刊文献

英文题名：Event-Based Distributed H∞ Filtering Networks of 2-DOF Quarter-Car Suspension Systems

作者：Zhang, Hao[1];Hong, Qianqian[1];Yan, Huaicheng[2,3];Yang, Fuwen[4];Guo, Ge[5]

机构：[1]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[4]Griffith Univ, Sch Engn, Gold Coast, Qld 4222, Australia;[5]Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China

年份：2017

卷号：13

期号：1

起止页码：312

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录：;EI(收录号：20170803376875);WOS:【SCI-EXPANDED(收录号:WOS:000395874400031)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61273026, Grant 61272064, Grant 61573077, Grant 61573260, and Grant 91120308; in part by the Shanghai International Science and Technology Cooperation Project 15220710700; in part by the Shanghai Pujiang Program under Grant 14PJ1409000; in part by the Australian Research Council Discovery Project under Grant DP160103567; in part by the Open Foundation of First Level Zhejiang in the Key Discipline of Control Science and Engineering; in part by the State Key Laboratory of Robotics and System Harbin Institute of Technology under Grant SKLRS-2016-KF-03; and the by Fundamental Research funds for Central Universities. Paper no. TII-15-1413.R2. (Corresponding author: H. Zhang.)

语种：英文

外文关键词：Event-based distributed filtering; periodic event-triggered sampling; position and velocity estimation; spring-mass systems; two-degree-of-freedom quarter-car suspension systems (2DOF-QSS)

摘要：This paper is concerned with the problem of vertical attitude estimation of a two-degree-of-freedom quarter-car suspension system by designing a distributed filtering network, where several distributed filters estimate vehicle heave motion cooperatively under consideration of external disturbance, network channel noises, and measurement error. The sampled data are transmitted through wireless networks. In order to reduce network traffic load and save communication resources, a novel periodic event-triggered sampling scheme is proposed, under which data are transmitted only when the proposed triggering condition is violated. Codesign of event-triggered and distributed filters is derived to guarantee well H-infinity robustness to the system noises considered above. Finally, the experiments are given to show the effectiveness of the proposed filtering system.