首页> 外文期刊>Computers & mathematics with applications >Iterative learning control with initial state learning for fractional order nonlinear systems
【24h】

Iterative learning control with initial state learning for fractional order nonlinear systems

机译:分数阶非线性系统的初始状态迭代学习控制

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a P-type iterative learning control (ILC) scheme with initial state learning for a class of α (0 ≤ α ≤ 1) fractional-order nonlinear systems. By introducing the λ.-norm and using a generalized Gronwall inequality, the sufficient condition for the robust convergence of the tracking errors with respect to initial positioning errors under P-type ILC is obtained. Based on this convergence condition, the learning gain of the initial learning and input learning updating law can be determined. Unlike the existing methods, the ILC scheme will not fix the initial value on the expected condition at the beginning of each iteration. Finally, the validity of the methods are verified by a numerical example.
机译:本文针对一类α(0≤α≤1)分数阶非线性系统,提出了一种具有初始状态学习的P型迭代学习控制(ILC)方案。通过引入λ。范数并使用广义Gronwall不等式,获得了在P型ILC下跟踪误差相对于初始定位误差稳健收敛的充分条件。基于该收敛条件,可以确定初始学习和输入学习更新律的学习增益。与现有方法不同,ILC方案不会在每次迭代开始时将初始值固定在预期条件上。最后,通过数值算例验证了方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号