...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Innovative Computing Information and Control >NONLINEAR ADAPTIVE DECOUPLING CONTROL BASED ON NEURAL NETWORKS AND MULTIPLE MODELS
【24h】

NONLINEAR ADAPTIVE DECOUPLING CONTROL BASED ON NEURAL NETWORKS AND MULTIPLE MODELS

机译：基于神经网络和多种模型的非线性自适应解耦控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

For a class of uncertain nonlinear multivariable discrete time dynamic systems, an adaptive decoupling controller (ADC) is presented, which can deal with the case that the zero dynamics (ZD) of the system is not asymptotically stable. The ADC developed is composed of a linear robust ADC, a neural network (NN) nonlinear ADC and a switching mechanism. The linear robust ADC can assure the bounded-input-bounded-output (BIBO) stability of the closed-loop system. The nonlinear NN ADC can improve the system performance. The switching mechanism is utilized to obtain the improved system performance and stability simultaneously. Theory analysis and simulation results are presented to show the effectiveness of the proposed method.
机译：针对一类不确定的非线性多变量离散时间动态系统，提出了一种自适应解耦控制器（ADC），该控制器可以处理系统的零动力学（ZD）不是渐近稳定的情况。开发的ADC由线性鲁棒ADC，神经网络（NN）非线性ADC和开关机制组成。线性鲁棒ADC可以确保闭环系统的有界输入有界输出（BIBO）稳定性。非线性NN ADC可以改善系统性能。利用切换机制同时获得改进的系统性能和稳定性。理论分析和仿真结果表明了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号