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基于准ARX多层学习网络模型的非线性系统自适应控制

王兰 谢达 董宜平 曹进德

王兰, 谢达, 董宜平, 曹进德. 基于准ARX多层学习网络模型的非线性系统自适应控制[J]. 应用数学和力学, 2019, 40(11): 1214-1223. doi: 10.21656/1000-0887.400212
引用本文: 王兰, 谢达, 董宜平, 曹进德. 基于准ARX多层学习网络模型的非线性系统自适应控制[J]. 应用数学和力学, 2019, 40(11): 1214-1223. doi: 10.21656/1000-0887.400212
WANG Lan, XIE Da, DONG Yiping, CAO Jinde. Adaptive Control of Nonlinear Systems Based on Quasi-ARX Multilayer Learning Network Models[J]. Applied Mathematics and Mechanics, 2019, 40(11): 1214-1223. doi: 10.21656/1000-0887.400212
Citation: WANG Lan, XIE Da, DONG Yiping, CAO Jinde. Adaptive Control of Nonlinear Systems Based on Quasi-ARX Multilayer Learning Network Models[J]. Applied Mathematics and Mechanics, 2019, 40(11): 1214-1223. doi: 10.21656/1000-0887.400212

基于准ARX多层学习网络模型的非线性系统自适应控制

doi: 10.21656/1000-0887.400212
基金项目: 江苏省高等学校自然科学研究项目(19KJB120013);江苏高校“青蓝工程”优秀青年骨干教师项目(014000773/2018-00376);江苏省政策引导类计划(国际科技合作)(BZ2018031);江苏省高等职业院校教师专业带头人高端研修资助项目(2019GRGDYX129)
详细信息
    作者简介:

    王兰(1983—),女,副教授,博士(E-mail: wanglan@wxit.edu.cn);曹进德(1963—),男,教授,博士,博士生导师(通讯作者. E-mail: jindecao@seu.edu.cn).

  • 中图分类号: O231.2

Adaptive Control of Nonlinear Systems Based on Quasi-ARX Multilayer Learning Network Models

  • 摘要: 建立了准ARX多层学习网络预测模型,并用于非线性系统自适应控制问题.该模型的内核部分为一个改进的神经模糊网络(NFNs):一部分为三层非线性网络结构,采用自联想网络进行离线训练;另一部分为三层NFNs,采取在线调整.据此对参数进行分类,给出相应调整算法. 然后,基于模型宏观结构的优势给出控制器设计方案.仿真分析给出该建模方法的有效性.
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出版历程
  • 收稿日期:  2019-07-15
  • 修回日期:  2019-09-03
  • 刊出日期:  2019-11-01

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