网络移动车辆系统最优编队的鲁棒预定义时间控制

IF 15.3 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-03-31 DOI:10.1109/JAS.2023.124023

Jing-Zhe Xu;Zhi-Wei Liu;Dingxig He;Ming-Feng Ge;Ming Chi

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引用次数: 0

摘要

这封信解决了网络移动车辆（NMV）系统中无领导最优编队的鲁棒预定义时间控制挑战。其目标是在考虑输入干扰和网络通信约束的情况下，最小化由每个智能体的单个强凸函数派生的复合全局成本函数。提出了一种新的预定义时间最优编队控制算法（PTOFC），在可调的沉降时间内保证agent状态收敛到最优编队位置。通过积分滑模技术的积分，可以有效地对抗干扰。一个典型的数值算例表明了该方法的有效性和鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust Predefined-Time Control for Optimal Formation of Networked Mobile Vehicle Systems

Dear Editor, This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle (NMV) systems. The aim is to minimize a composite global cost function derived from individual strongly convex functions of each agent, considering both input disturbances and network communication constraints. A novel predefined-time optimal formation control (PTOFC) algorithm is presented, ensuring agent state convergence to optimal formation positions within an adjustable settling time. Through the integration of an integral sliding mode technique, disturbances are effectively countered. A representative numerical example highlights the effectiveness and robustness of the developed approach.

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来源期刊

Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering

CiteScore

23.50

自引率

11.00%

发文量

880

期刊介绍： The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.