ITERATIVE_LEARNING_CONTROL

作品数：104被引量：259H指数：9
导出分析报告
相关作者：林辉戴冠中严星刚祝乔更多>>
相关机构：北京科技大学西北工业大学更多>>
相关期刊：更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划北京市自然科学基金国家高技术研究发展计划更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 期刊=Journal of Systems Science & Complexityx
共 条 记 录，以下是1-4
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths被引量：1
《Journal of Systems Science & Complexity》2020年第3期685-705,共21页LIU Chen SHEN Dong WANG Jinrong 
supported by the National Natural Science Foundation of China under Grant Nos.61673045and 11661016。
In this paper,iterative learning control(ILC)is considered to solve the tracking problem of time-varying linear stochastic systems with randomly varying trial lengths.Using the two-dimensional Kalman filtering techniq...
关键词：Iterative learning control Kalman filtering recursive estimation varying trial lengths 
Closed-Loop Iterative Learning Control for Discrete Singular Systems with Fixed Initial Shift被引量：1
《Journal of Systems Science & Complexity》2019年第2期577-587,共11页GU Panpan TIAN Senping LIU Qian 
supported in part by the National Natural Science Foundation of China under Grant Nos.61374104 and 61773170;the Natural Science Foundation of Guangdong Province of China under Grant No.2016A030313505
This paper deals with the problem of iterative learning control for a class of discrete singular systems with fixed initial shift. According to the characteristics of the discrete singular systems, a closed-loop learn...
关键词：CLOSED-LOOP LEARNING algorithm discrete SINGULAR systems  fixed INITIAL SHIFT iterative LEARNING control 
CONVERGENCE ANALYSIS IN SENSE OF LEBESGUE-p NORM OF DECENTRALIZED NON-REPETITIVE ITERATIVE LEARNING CONTROL FOR LINEAR LARGE-SCALE SYSTEMS被引量：1
《Journal of Systems Science & Complexity》2009年第3期422-434,共13页Xiaoe RUAN Huizhuo WU Na LI Baiwu WAN 
supported by the National Natural Science Foundation of China under Grant No. F030101 60574021.
In this paper,a decentralized iterative learning control strategy is embedded into theprocedure of hierarchical steady-state optimization for a class of linear large-scale industrial processeswhich consists of a numbe...
关键词：Convergence effectiveness iterative learning control large-scale systems Lebesgue-pnorm. 
A NEW NEURAL NETWORK-BASED ADAPTIVE ILC FOR NONLINEAR DISCRETE-TIME SYSTEMS WITH DEAD ZONE SCHEME被引量：2
《Journal of Systems Science & Complexity》2009年第3期435-445,共11页Ronghu CHI Zhongsheng HOU 
supported by General Program (60774022);State Key Program (60834001) of National Natural Science Foundation of China;Doctoral Foundation of Qingdao University of Science & Technology (0022324)
By introducing a deadwzone scheme, a new neural network based adaptive iterative learning control （ILC） （NN-AILC） scheme is presented for nonlinear discrete-time systems, where the NN weights are time-varying. The...
关键词：Adaptive control iterative learning control neural network non-identical initial condition non-identical trajectory. 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部