摘要
就一类离散非线性系统的迭代学习控制 ,提出了最优迭代因果学习律的存在性条件 .如果迭代初态严格重复 ,则迭代输出收敛于期望输出 .
Proof that there exists me kind of casual iterative law based on optimization is presented. The iterative output converges to desired trajectory when reinitialization is unchanged. The result is an inference on optimal iterative learning control of linear discrete-time systems.
出处
《中国计量学院学报》
2004年第3期214-216,241,共4页
Journal of China Jiliang University
基金
国家质量监督检验检疫总局科研资助项目 ( N O.Y0 0 A0 2 )
