具有参数不确定性的网络化欧拉-拉格朗日系统双方位时变编队跟踪的预定义时间分层控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-06-25 DOI:10.1002/asjc.3446
Shuang Wang, Tao Han, Bo Xiao, Xiao‐Feng Zhao, Huaicheng Yan
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引用次数: 0

摘要

本文主要探讨了具有外部干扰和参数不确定性的网络化欧拉-拉格朗日系统(NELS)的双方位时变编队跟踪(BTVFT)问题,考虑了包含合作与竞争交互的有向签名通信网络。一种新颖的非奇异滑模控制(SMC)方法是预定义时间分层控制算法(PTHCA)的基础,该算法用于在预定义时间内解决 NELS 的 BTVFT 挑战。这种方法可将沉降时间作为控制参数进行预定。此外,基于 Lyapunov 论证,还提供了建立闭环系统预定时间稳定性的充分条件。为了证明主要研究成果的有效性,还进行了模拟实验。
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Predefined‐time hierarchical control for bipartite time‐varying formation tracking of networked Euler–Lagrange systems with parametric uncertainties
This paper mainly addresses the bipartite time‐varying formation tracking (BTVFT) problem for networked Euler–Lagrange systems (NELSs) with external disturbances and parametric uncertainties, considering a directed signed communication network that encompasses both cooperative and competitive interactions. A novel nonsingular sliding mode control (SMC) method serves as the foundation for a predefined‐time hierarchical control algorithm (PTHCA), introduced to tackle the BTVFT challenge for NELSs in a predefined time. This approach enables the settling time to be predetermined as a control parameter. Moreover, sufficient conditions for establishing the predefined‐time stability of closed‐loop systems are provided based on the Lyapunov argument. Simulations are conducted to demonstrate the effectiveness of the main findings.
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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Issue Information Issue Information Issue Information Issue Information Adaptive output feedback time-varying formation tracking of multi-agent system with a leader of unknown input
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