high frequency learning gain 高频学习增益
Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.
模型的基础上,泰勒级数的系数调整控制功能的迭代学习法律,学习增益矩阵,通过LMI优化设计。
An adaptive iterative learning control approach is proposed for a class of single input, single output uncertain nonlinear systems with completely unknown high frequency learning gain.
针对一类单输入单输出不确定非线性重复跟踪系统,提出一种基于完全未知高频反馈增益的自适应迭代学习控制。
Being liked creates opportunities for learning and for new kinds of life experiences that help somebody gain an advantage.
受人喜欢为学习和新的生活体验创造了机会,这有助于人们获得优势。
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