Fuzzy Adaptive Cooperative Prescribed Time Control for Nonlinear Vehicular Platoon Systems

IF 11.9 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-13 DOI:10.1109/TFUZZ.2025.3528399
Kewen Li;Xiao Liu
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Abstract

This article focuses on the issue of the cooperative adaptive fuzzy prescribed-time platoon control for nonlinear second-order vehicular platoon systems, which contain the nonlinear dynamic. Fuzzy logic system is adopted to identify the unknown nonlinear dynamic in the platoon system. By the aid of the time-domain mapping technique, the prescribed-time control design for the controlled system will be converted to the asymptotic tracking control design of the corresponding controlled system. Combining adaptive backstepping control and vehicle-to-vehicle communication topology, a prescribed-time fuzzy adaptive cooperative asymptotic tracking control scheme is proposed, which demonstrates all signals of the platoon systems are bounded within a prescribed time, and the velocities of all following vehicles can asymptotically track the leader vehicle with desired safety spacing. Moreover, the formation tracking errors can asymptotically tend to origin within a prescribed time. Finally, the effectiveness and feasibility of the proposed platoon control approach and theory will be verified by simulations.
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非线性车辆排系统的模糊自适应协同规定时间控制
研究了包含非线性动力学的非线性二阶车辆排系统的协同自适应模糊规定时间排控制问题。采用模糊逻辑系统对排系统中的未知非线性动态进行辨识。借助时域映射技术,将被控系统的规定时间控制设计转化为相应被控系统的渐近跟踪控制设计。结合自适应后退控制和车对车通信拓扑结构,提出了一种规定时间的模糊自适应协同渐近跟踪控制方案,该方案证明了队列系统的所有信号在规定时间内是有界的,并且所有跟随车辆的速度都能以期望的安全间距渐近跟踪领头车辆。此外,在给定的时间内,编队跟踪误差可以渐近地趋于原点。最后,通过仿真验证了所提出的排控方法和理论的有效性和可行性。
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来源期刊
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems 工程技术-工程:电子与电气
CiteScore
20.50
自引率
13.40%
发文量
517
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.
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