迭代学习控制
趋同(经济学)
方案(数学)
理论(学习稳定性)
控制理论(社会学)
自适应控制
计算机科学
线性化
迭代法
控制(管理)
反馈线性化
数学优化
数学
算法
人工智能
非线性系统
机器学习
量子力学
经济增长
物理
数学分析
经济
作者
Tongfu Xu,Yanni Li,Xiuying Li
标识
DOI:10.1109/cac57257.2022.10055087
摘要
An improved model-free adaptive iterative learning control (IMFAILC) method is proposed for repeating unknown systems using dynamic linearization (DL) through the iteration direction. Based on MFAILC, a time-varying proportional control item is added. Compared with the original MFAILC method, IMFAILC is more general and has better control effect. The convergence and stability of IMFAILC scheme are proved strictly, and the effectiveness of the IMFAILC scheme is confirmed by simulation.
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