东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2012, Vol. 33 ›› Issue (4): 465-468.DOI: -

• 论著 • 上一篇    下一篇

改进的梯度去伪控制算法

郑艳;贾志闻;邓佳佳;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(61174073)

Improved unfalsified control algorithm based on gradient method

Zheng, Yan (1); Jia, Zhi-Wen (1); Deng, Jia-Jia (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zheng, Y.
  • About author:-
  • Supported by:
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摘要： 针对梯度去伪控制算法中存在的易卡于极点,以及收敛速度慢的缺陷,给出了一种改进的梯度去伪控制算法.在自适应律中加入形式为上一时刻参数变化量的动量项时,当参数为局部极点时就能够跳出极点,而且能够有效地提高系统的收敛速度.该算法只需利用采集的数据,而不依赖于系统模型.仿真结果验证了所给出的改进的梯度去伪控制算法的有效性.

关键词: 去伪控制, 数据驱动控制, 梯度法, 动量项, 收敛速度

Abstract: An improved unfalsified control algorithm based on gradient method was proposed to overcome the defects that the unfalsified control algorithm is easy to fall into the poles and has slower convergence speed. The momentum term, which is a parameter variation of the moment before, was added into the adaptation rule to make the parameter jump out of the local extreme poles and improve the system convergence speed effectively. The algorithm just makes use of the collected data, but not depends on the system model. The simulation results verified the validity of the improved unfalsified control algorithm based on gradient method.

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