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Updated: Sep 14, 2025

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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
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具有非自主领导者的多种海军车辆的合作模糊基于事件的跟踪控制
IEEE transactions on cybernetics
|July 22, 2025
概括
本研究介绍了用于船舶车辆合作跟踪的新型自适应模糊控制器,通过基于事件的策略增强领导者跟踪. 这些方法可以确保精确的跟踪,尽管存在不确定性和通信限制.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 海洋工程 海洋工程
- 人工智能的人工智能
背景情况:
- 合作跟踪控制对于协调的船舶运行至关重要.
- 异质系统和非自主领导者带来了重要的控制挑战.
- 通信限制和模型不确定性阻碍了强大的船舶车辆控制.
研究的目的:
- 为领导者轨迹估计开发一个完全分布的观察者.
- 为合作追踪设计分散的自适应模糊事件控制器.
- 为了解决船舶车辆系统中的模型不确定性和通信限制.
主要方法:
- 设计了一个完全分布的平滑观察器来估计领导者的轨迹.
- 开发了三种基于事件的分散自适应模糊控制器,具有固定,相对和切换值触发.
- 利亚普诺夫分析被用来证明零错误跟踪和没有Zeno行为.
主要成果:
- 建议的观察员有效地估计了领导者的轨迹,减少了输入的影响.
- 适应性模糊控制器实现了对异质船舶车辆的零错误跟踪.
- 事件触发机制成功地管理了通信约束和模型不确定性.
结论:
- 开发的观察员和控制器为合作追踪海上车辆提供了强大的解决方案.
- 模糊逻辑和基于事件的方法在处理系统复杂性方面是有效的.
- 数字模拟证实了拟议的控制策略的实际可行性和有效性.
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