文献类型：期刊文献

英文题名：Fuzzy-Inverse-Model-Based Networked Tracking Control Frameworks of Time-Varying Signals

作者：Tong, Shiwen[1];Qian, Dianwei[2];Yuan, Keya[1];Liu, Dexin[1];Li, Yuan[1];Zhang, Jiancheng[1]

第一作者：佟世文

通讯作者：Yuan, KY[1]

机构：[1]Beijing Union Univ, Coll Robot, Beijing 100101, Peoples R China;[2]North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

第一机构：北京联合大学机器人学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Robot, Beijing 100101, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

年份：2024

卷号：11

期号：7

起止页码：1708-1710

外文期刊名：IEEE-CAA JOURNAL OF AUTOMATICA SINICA

收录：;EI(收录号：20242616354394);Scopus(收录号：2-s2.0-85196716152);WOS:【SCI-EXPANDED(收录号:WOS:001247143100002)】；

基金：This work was partially supported by the Teaching Reform Project of BUU (JJ2022Z18) and the National Key R&D Program Project (2022YFB4601104).

语种：英文

摘要：Dear Editor, Tracking control in networked environment is a very challenging problem due to the contradiction of rapid response to the time-varying signal and the inevitable delay introduced by networks. This letter has proposed several fuzzy-inverse-model-based network tracking control frameworks which are helpful in handling the system with nonlinear dynamics and uncertainties. The control frameworks have adopted different strategies such as feedback correction, internal model structure and adaptive technology. Simulations have proved the validity of the strategies. Moreover, the combination of two or more technologies can greatly improve the control performance.