精确的跟踪控制通过代学习对单面的利普希茨·卡普托分数顺序系统进行精确的跟踪控制.
Hanjiang Wu1, Jie Huang1, Kehan Wu1
1Anhui Electrical Engineering Professional Technique College, Hefei 230051, China.
Mathematical biosciences and engineering : MBE
|March 8, 2024
概括
本研究介绍了对具有特定非线性质的分数顺序系统的代学习控制 (ILC). 拟议的P型ILC算法确保了完美的轨迹跟踪,并通过模拟证明了有效性.
科学领域:
- 控制理论 控制理论
- 分数微积分的计算.
- 非线性系统是非线性系统.
背景情况:
- 分数顺序系统越来越多地用于模拟复杂的动态.
- 代学习控制 (ILC) 对于重复性任务是有效的.
- 一面的利普希茨非线性在控制设计中提出了挑战.
研究的目的:
- 开发和分析卡普托分数顺序系统的代学习控制算法.
- 为了处理具有单面利普希茨非线性系统.
- 为了实现理想轨迹的完美跟踪.
主要方法:
- 开放式和闭环式P型学习算法的设计.
- 为拟议的算法建立趋同条件.
- 输出跟踪错误的数学分析趋同.
主要成果:
- 拟议的P型ILC算法确保输出跟踪错误趋于零.
- 在代轴上展示了趋同.
- 理论发现通过模拟实例来验证.
结论:
- 开发的代学习控制方法对于具有片面利普希茨非线性的一小数顺序系统是有效的.
- 拟议的算法保证了精确的轨迹跟踪.
- 该研究提供了一种可靠的方法来控制这些复杂的系统.
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