...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Control, Automation, and Systems >Wavelet Reduced Order Observer based Adaptive Tracking Control for a Class of Uncertain Nonlinear Systems using Reinforcement Learning
【24h】

Wavelet Reduced Order Observer based Adaptive Tracking Control for a Class of Uncertain Nonlinear Systems using Reinforcement Learning

机译：一类基于非线性学习的基于小波降阶观测器的自适应跟踪控制

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

This Paper investigates the mean to design the reduced order observer and observer based controllers for a class of uncertain nonlinear system using reinforcement learning. A new design approach of wavelet based adaptive reduced order observer is proposed. The proposed wavelet adaptive reduced order observer performs the task of identification of unknown system dynamics in addition to the reconstruction of states of the system. Reinforcement learning is used via two wavelet neural networks (WNN), critic WNN and action WNN, which are combined to form an adaptive WNN controller. The "strategic" utility function is approximated by the critic WNN and is minimized by the action WNN. Owing to their superior learning capabilities, wavelet networks are employed in this work for the purpose of identification of unknown system dynamics. Using the feedback control, based on reconstructed states, the behavior of closed loop system is investigated. By Lyapunov approach, the uniformly ultimate boundedness of the closed-loop tracking error is verified. A numerical example is provided to verify the effectiveness of theoretical development.
机译：本文研究了使用强化学习为一类不确定非线性系统设计降阶观测器和基于观测器的控制器的方法。提出了一种基于小波的自适应降阶观测器设计方法。所提出的小波自适应降阶观测器除了执行系统状态重构外，还执行识别未知系统动力学的任务。增强学习是通过两个小波神经网络（WNN），评论者WNN和动作WNN来使用的，它们组合在一起形成了自适应WNN控制器。评论家WNN近似了“战略”效用函数，而动作WNN使其最小化。由于其卓越的学习能力，小波网络被用于这项工作，以识别未知的系统动力学。使用反馈控制，基于重构状态，研究闭环系统的行为。通过Lyapunov方法，验证了闭环跟踪误差的一致最终有界性。数值例子验证了理论发展的有效性。

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