Consensus of Continuous-Time Linear Multiagent Systems With Discrete Measurements

作     者：Wang, Xiaoling Jiang, Guo-Ping Su, Housheng Zeng, Zhigang 

作者机构：Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Coll Artificial Intelligence Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Jiangsu Engn Lab IoT Intelligent Robots Nanjing 210023 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON CYBERNETICS》 (IEEE Trans. Cybern.)

年 卷 期：2022年第52卷第5期

页      面：3196-3206页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China [61803209, 61873318, 61873326, U1913602] Natural Science Foundation of Jiangsu Province [BK20180752] University Science Research Project of Jiangsu Province [18KJB120006] Scientific Foundation of Nanjing University of Posts and Telecommunications (NUPTSF) [NY218121] 

主　　题：Protocols Observers Robustness Symmetric matrices Uncertainty Multi-agent systems Measurement uncertainty Consensus continuous-time MAS discrete-time measurement output feedback 

摘      要：This article concerns the robust consensus problem of continuous-time linear multiagent systems (MASs) with uncertainty and discrete-time measurement information, where the output measurement information is in the data-sampled form. Distributed output-feedback protocol with or without controller interaction is proposed for each agent. Specifically, the output-feedback protocol runs in continuous time with an output error correction term mixed with the discrete-time measurement information. The concrete algorithm is given for the construction of the feedback matrices. Then, by using the delay-input approach, sufficient conditions are provided for the robust consensus of this kind of MASs interacting over networks described by the directed graphs. Finally, numerical simulations are given to illustrate the theoretical results.