控制理论(社会学)
非线性系统
自适应控制
计算机科学
控制工程
控制(管理)
控制系统
跟踪(教育)
工程类
人工智能
心理学
教育学
量子力学
电气工程
物理
作者
Guangdeng Zong,Yudi Wang,Ben Niu,Shun‐Feng Su,Kaibo Shi
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2024-09-16
卷期号:74 (1): 413-424
被引量:84
标识
DOI:10.1109/tvt.2024.3461669
摘要
This paper studies the event-triggered adaptive neural network (NN) tracking control problem for autonomous underwater vehicle system (AUVs) with deferred asymmetric time-varying output constraints (DATV). First, a novel asymmetric time-varying barrier Lyapunov function (BLF) is constructed to deal with the DATV to simplify the stability analysis and the controller design. Second, an event-triggered adaptive NN tracking controller is established to enhance the utility of the network resources by introducing an error shifting function. The proposed controller guarantees that the tracking error converges to an arbitrarily small neighborhood of the origin within the pre-given settling time. It is proved that the initial value can lie outside the system constraint boundary and all the signals in the closed-loop systems are semi-globally uniformly ultimately bounded (SGUUB). Eventually, an AUVs is offered to certify the feasibility of the acquired control algorithm.
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