在代学习控制中处理初始状态转移的方法的调查
Dongjie Chen1, Tiantian Lu1, Guojun Li1
1Basic Courses Department, Zhejiang Police College, Hangzhou, 310053, China.
Heliyon
|December 4, 2023
概括
本研究回顾了用于代学习控制 (ILC) 的初始轮班校正算法. 它分析了常见的方法及其机制,在模拟中验证了效果,以提高跟踪性能和系统稳定性.
科学领域:
- 控制工程 控制工程 控制工程
- 系统科学 系统科学
背景情况:
- 最初的状态转移显著影响跟踪性能和控制系统中的系统稳定性.
- 由于纠正这些转变的关键作用,研究的关注度越来越大.
研究的目的:
- 审查初始调整算法的历史和当前研究状态.
- 分析共同的初始轮班纠正方法的潜在机制.
- 介绍与初始转换相关的代学习控制 (ILC) 的未来方向和挑战.
主要方法:
- 介绍了三种控制器类型:PID类型的代学习控制器,自适应的代学习控制器和最佳的代学习控制器.
- 详细分析目前初始转移纠正方法背后的机制.
- 使用理想的第一级和第二级系统模拟纠正算法.
主要成果:
- 通过模拟展示了初始转移纠正算法的有效性.
- 提供了现有整治技术的全面概述.
- 确定了ILC未来进步的关键领域.
结论:
- 纠正算法的初始轮班对于提高ILC性能和稳定性至关重要.
- 需要进一步的研究来解决这个领域的具有挑战性的话题.
- 该研究通过详细分析和未来前景,为ILC的发展做出了贡献.
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