具有非对称时变输出约束的一类非线性系统的事件触发自适应跟踪控制

IF 2.7 3区 工程技术 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yitao Yang, Lidong Zhang
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引用次数: 0

摘要

本文研究了具有延迟非对称时变(DATV)输出约束的事件触发自适应神经网络(NN)跟踪控制问题。为了处理 DATV 输出约束,首先建立了非对称时变势垒 Lyapunov 函数 (ATBLF),使稳定性分析和控制器构建变得更简单。其次,通过加入误差转移函数,构建了事件触发自适应 NN 跟踪控制器,确保跟踪误差在预定的沉降时间内收敛到原点的任意小邻域,从而优化网络资源的利用。理论证明,闭环系统中的所有信号都是半全局均匀最终有界(SGUUB)的,而初始值在约束边界之外。最后,以单链机械臂(SLRA)应用为例,验证了所获控制算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints

This article investigates the event-triggered adaptive neural network (NN) tracking control problem with deferred asymmetric time-varying (DATV) output constraints. To deal with the DATV output constraints, an asymmetric time-varying barrier Lyapunov function (ATBLF) is first built to make the stability analysis and the controller construction simpler. Second, an event-triggered adaptive NN tracking controller is constructed by incorporating an error-shifting function, which ensures that the tracking error converges to an arbitrarily small neighborhood of the origin within a predetermined settling time, consequently optimizing the utilization of network resources. It is theoretically proven that all signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB), while the initial value is outside the constraint boundary. Finally, a single-link robotic arm (SLRA) application example is employed to verify the viability of the acquired control algorithm.

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来源期刊
Frontiers of Information Technology & Electronic Engineering
Frontiers of Information Technology & Electronic Engineering COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
6.00
自引率
10.00%
发文量
1372
期刊介绍: Frontiers of Information Technology & Electronic Engineering (ISSN 2095-9184, monthly), formerly known as Journal of Zhejiang University SCIENCE C (Computers & Electronics) (2010-2014), is an international peer-reviewed journal launched by Chinese Academy of Engineering (CAE) and Zhejiang University, co-published by Springer & Zhejiang University Press. FITEE is aimed to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering, including but not limited to Computer Science, Information Sciences, Control, Automation, Telecommunications. There are different types of articles for your choice, including research articles, review articles, science letters, perspective, new technical notes and methods, etc.
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