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A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme
  • ISSN号：1009-6124
  • 期刊名称：Journal of Systems Science and Complexity
  • 时间：0
  • 页码：435-445
  • 分类：TP271.8[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]Institute of Autonomous Navigation and Intelligent Control, School of Automation and Electrical Engineering,Qingdao University of Science and Technology, Qingdao 266042, China., [2]Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing JiaotongUniversity, Beijing 100044, China.
  • 相关基金：This research is supported by General Program （60774022） and State Key Program （60834001） of National Natural Science Foundation of China, and Doctoral Foundation of Qingdao University of Science ＆ Technology （0022324）.
  • 相关项目：基于数据驱动的控制理论及在大型复杂系统中的应用
作者： Chi, Ronghu|Hou, Zhongsheng|
关键词： 非线性离散时间系统, 神经网络, 自适应, 国际法, 死区, 收敛性分析, 迭代学习控制, 时间变化, Adaptive control, iterative learning control, neural network, non-identical initial condition,non-identical trajectory.
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期刊信息
  • 《系统科学与复杂性学报：英文版》
  • 主管单位:中国科学院
  • 主办单位:中国科学院系统科学研究所
  • 主编：
  • 地址：北京东黄城根北街16号
  • 邮编：100080
  • 邮箱：
  • 电话：010-62541831 62541834
  • 国际标准刊号：ISSN：1009-6124
  • 国内统一刊号：ISSN：11-4543/O1
  • 邮发代号:82-545
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国科学引文索引（扩展库）,英国科学文摘数据库
  • 被引量:125