首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Sampled-data-based event-triggered secure bipartite tracking consensus of linear multi-agent systems under DoS attacks
Institution:1. School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, Henan 450001, China;2. School of Science, Henan University of Engineering, Zhengzhou, Henan 451191, China;1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;2. State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang, Liaoning 110819, China;1. School of Information Science and Technology, Nantong University, Jiangsu 226019, China;2. Nantong University Xinglin College, Jiangsu 226007, China;3. School of Electrical Engineering, Nantong University, Jiangsu 226019, China;1. School of Automation, Beijing Institute of Technology, Beijing 100081, China;2. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China;2. State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang, Liaoning 110819, China;1. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu 210023, China;2. School of Mathematics, Southeast University, Nanjing, Jiangsu 210096, China
Abstract:This paper investigates secure bipartite consensus tracking of linear multi-agent systems under denial-of-service(DoS) attacks by using event-triggered control mechanism with data sampling. Both bipartite leader-following and containment tracking consensus are considered in this paper. The event-triggered control protocol using sampled-data information is designed to save limited resources. The communication channels are interrupted by intermittent DoS attacks. Sufficient conditions on the sampling periods, attack frequency and attack duration are obtained to ensure secure bipartite tracking consensus of the multi-agent systems. Finally, simulation example is provided to illustrate the effectiveness of the theoretical results.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号