Target Interception of Marine Surface Vehicle With Dynamic Memory Event-Triggered Prescribed Performance Control

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Shang Liu;Ge Guo
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引用次数: 0

Abstract

This article studies the target interception control problem of a marine surface vehicle (MSV) under communication constraint and performance specification. The interception mechanism, inspired by a dynamic potential field approach, ensures the MSV globally intercepts the target from any initial position, without requiring knowledge of the target’s velocity. Prescribed performance ensures that tracking errors converge to a specified region, while relaxing the common assumption on initial value constraints via a shifting function. To reduce actuator’s manipulation frequency, an event-triggered controller with a dynamic memory event-triggered generator is developed, featuring longer triggering intervals compared to a memoryless one. Considerable efforts are made to guarantee that signals in closed-loop system remain semi-globally uniformly ultimately bounded. Simulation results demonstrate the effectiveness and superiority of this control scheme.
基于动态记忆事件触发的预定性能控制的海面车辆目标拦截
研究了在通信约束和性能要求下的海上水面飞行器目标拦截控制问题。该拦截机制受到动态势场方法的启发,可确保MSV在不需要知道目标速度的情况下,从任何初始位置对目标进行全局拦截。规定的性能保证了跟踪误差收敛到指定的区域,同时通过移位函数放宽了对初始值约束的一般假设。为了降低致动器的操作频率,开发了一种带有动态记忆事件触发发生器的事件触发控制器,与无记忆控制器相比,该控制器具有更长的触发间隔。为了保证闭环系统中的信号保持半全局一致最终有界,人们做了大量的工作。仿真结果验证了该控制方案的有效性和优越性。
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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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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