.png){kind=icon}
返回
Adaptive learning algorithm for Cerebellar model articulation controller
.png){kind=icon}
PRE
AI
DOI：10.1016/S0957-4158(01)00031-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Cerebellar model articulation controller (CMAC) was developed two decades ago, yet lacks an adequate learning algorithm. Examining the performance of a CMAC based controller showed that the control system become unstable after a long period of real time runs. A new adaptive learning algorithm is proposed. The resultant controller is applied for the trajectory tracking control of a piezoelectric actuated tool post. The performance of the proposed controller is compared with those of conventional controllers (PI controller and the conventional CMAC based controller). The experimental results showed that performance of the CMAC based controller using the proposed learning algorithm is stable and more effective than that of the conventional controllers. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keyword:
cerebellar model articulation controller (CMAC)
stability
neural network
adaptive learning algorithm
piezoelectric actuated tool post
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.1
论文数:
2.9K
被引数:
5.7K
机构
暂无机构信息
引用论文
Fast tool servo control for ultra-precision machining at extremely low feed rates.png)
MECHATRONICS
MECHATRONICSIF3.1
PREAI
分享收藏
Comparison of reversed-phase thin-layer and high-performance liquid chromatography of flavonoid compounds反相薄层色谱法与高效液相色谱法在黄酮类化合物分析中的比较
PREAI
分享收藏Regioselectivity and stereoselectivity of the metabolism of the chiral quinolizidine alkaloids sparteine and pachycarpine in the rat手性喹诺里西丁生物碱sparteine和pachycarpine在大鼠体内的代谢区域选择性和立体选择性Xenobiotica
XenobioticaIF0
PREAI
分享收藏
查看更多内容