当前位置: X-MOL 学术Int. J. Syst. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Data-driven optimal PID type ILC for a class of nonlinear batch process
International Journal of Systems Science ( IF 4.3 ) Pub Date : 2020-10-01 , DOI: 10.1080/00207721.2020.1825872
Furqan Memon 1 , Cheng Shao 2
Affiliation  

The paper presents model-free proportional–integral–derivative (PID) type iterative learning control (ILC) approach for the nonlinear batch process. The dynamic linearisation method is considered, ...

中文翻译:

一类非线性批处理的数据驱动最优PID型ILC

本文提出了用于非线性批处理的无模型比例积分微分 (PID) 型迭代学习控制 (ILC) 方法。考虑了动态线性化方法,...
更新日期:2020-10-01
down
wechat
bug