网络拓扑
控制理论(社会学)
运动学
控制器(灌溉)
观察员(物理)
计算机科学
跟踪(教育)
控制工程
工程类
职位(财务)
车辆动力学
拓扑(电路)
控制(管理)
航空航天工程
人工智能
计算机网络
物理
农学
经济
电气工程
生物
经典力学
量子力学
教育学
心理学
财务
作者
Yu-Long Wang,Qing-Long Han,Chen Peng,Lang Ma
标识
DOI:10.1007/978-3-031-28605-6_9
摘要
This chapter is concerned with the cooperative target trackingTarget tracking of multiple UMVsUnmanned Marine Vehicles (UMVs) under switching network topologies. For the target to be tracked, only its position can be measured/received by some of the UMVsUnmanned Marine Vehicles (UMVs), and its velocity is unavailable to all the UMVsUnmanned Marine Vehicles (UMVs). A distributed extended state observer considering switching topologiesSwitching topologies is designed to integrally estimate unknown target dynamics and neighboring UMVs’Unmanned Marine Vehicles (UMVs) dynamics. Accordingly, a novel kinematic controller is designed, which takes full advantage of known information and avoids the approximation of some virtual control vectors. Moreover, a disturbance observer is presented to estimate unknown time-varying environmental disturbances. Furthermore, a distributed dynamic controller is designed to regulate the involved UMVsUnmanned Marine Vehicles (UMVs) to cooperatively track the target.
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