{"title":"基于两类智能体群体控制的时滞目标跟踪算法","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":"{\"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}","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}
Target Tracking Algorithm with Time Delay Based on Flocking Control with Two Types of Agents
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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