Integral Event-triggered Time-varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-08-02 DOI:10.1007/s12555-023-0483-7
Shuqing Wu, Shuang Shi, Xinhua Wang, Ju Jiang
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Abstract

In this paper, the integral event-triggered time-varying formation tracking (TVFT) problem is investigated for unmanned aerial vehicle (UAV) swarm systems with switching directed topologies. An improved integral event-triggered mechanism (ETM) is introduced into the TVFT control protocol, which can further reduce communication frequency and resource consumption compared with traditional static ETM. The switching topology is considered to improve the reliability of the communication network. Different from traditional TVFT, the addition of the switching signal and the ETM brings challenges to the system analysis and design. To this end, the control protocol of TVFT, the admissible edge-dependent average dwell time switching signal and the ETM are co-designed, the global exponential stability criterion is further deduced. The simulation verifies the effectiveness and merits of the design scheme.

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具有切换定向拓扑的无人机蜂群系统的积分事件触发时变编队跟踪
本文研究了具有切换定向拓扑结构的无人机(UAV)蜂群系统的积分事件触发时变编队跟踪(TVFT)问题。在 TVFT 控制协议中引入了改进的积分事件触发机制(ETM),与传统的静态 ETM 相比,它能进一步降低通信频率和资源消耗。为提高通信网络的可靠性,考虑了交换拓扑结构。与传统的 TVFT 不同,开关信号和 ETM 的加入给系统分析和设计带来了挑战。为此,我们共同设计了 TVFT 的控制协议、可接受的依赖边缘的平均驻留时间开关信号和 ETM,并进一步推导出了全局指数稳定性准则。仿真验证了设计方案的有效性和优点。
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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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