Finite-time and Fixed-time Time-varying Formation Tracking for Multiple Euler-Lagrange Systems With Disturbances

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/s12555-023-0587-0
Lin-Jing Chen, Tao Han, Bo Xiao, Huaicheng Yan
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Abstract

This article mainly tackles the finite-time time-varying formation tracking (Fin-TVFT) problem and fixed-time time-varying formation tracking (Fix-TVFT) problem of multiple Euler-Lagrange systems (MELSs) subject to the external disturbances under the directed interaction topology. The distributed estimator-based hierarchical control (EBHC) algorithms are respectively formulated to achieve the foregoing problems. Note that the settling time of Fin-TVFT depends on the initial values, but the convergence time of Fix-TVFT is independent of the initial conditions. According to the Lyapunov stability analysis, several sufficient conditions for accomplishing the Fin-TVFT and Fix-TVFT are derived. Eventually, the simulation results are exhibited in order to illustrate the feasibility of the designed algorithms.

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有扰动的多个欧拉-拉格朗日系统的有限时间和固定时间时变编队跟踪
本文主要探讨了有向交互拓扑结构下受外部扰动影响的多欧拉-拉格朗日系统(MELS)的有限时时变编队跟踪(Fin-TVFT)问题和固定时时变编队跟踪(Fix-TVFT)问题。为解决上述问题,分别提出了基于估计器的分布式分层控制(EBHC)算法。需要注意的是,Fin-TVFT 的平稳时间取决于初始值,但 Fix-TVFT 的收敛时间与初始条件无关。根据李雅普诺夫稳定性分析,得出了完成 Fin-TVFT 和 Fix-TVFT 的几个充分条件。最后,展示了仿真结果,以说明所设计算法的可行性。
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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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