{"title":"Target Tracking Algorithm with Time Delay Based on Flocking Control with Two Types of Agents","authors":"Shuailei Wang, Shaolei Zhou, S. Yan","doi":"10.1109/GNCC42960.2018.9019035","DOIUrl":null,"url":null,"abstract":"This paper investigates a target tracking algorithm with time delay based on flocking control. In the system, there exist two types of agents and one moving target. Agents of type I track the target, and agents of type II follow the former. These agents are controlled with a kind of second-order differential equations, and different control inputs are proposed for these agents. The control inputs contain the position and velocity of the agents. Stability analysis is presented by constructing a Lyapunov-Krasovskii function and its derivate. Asymptotical stability condition is derived for the second order system with hybrid agents. Simulation results show that stable flocking is achieved.","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"9 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GNCC42960.2018.9019035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates a target tracking algorithm with time delay based on flocking control. In the system, there exist two types of agents and one moving target. Agents of type I track the target, and agents of type II follow the former. These agents are controlled with a kind of second-order differential equations, and different control inputs are proposed for these agents. The control inputs contain the position and velocity of the agents. Stability analysis is presented by constructing a Lyapunov-Krasovskii function and its derivate. Asymptotical stability condition is derived for the second order system with hybrid agents. Simulation results show that stable flocking is achieved.
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