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题名: An Improved Model Free Adaptive Control Algorithm
作者: Xu AD(徐皑冬) ; Zheng YB(郑养波) ; Song Y(宋岩) ; Liu MZ(刘明哲)
作者部门: 工业信息学研究室
会议名称: Fifth International Conference on Natural Computation. ICNC '09
会议日期: August 14-16, 2009
会议地点: Tianjin, China
会议主办者: IEEE
会议录: Proceedings of the 5th International Conference on Natural Computation (ICNC'09),
会议录出版者: IEEE
会议录出版地: New York
出版日期: 2009
页码: 70-74
收录类别: EI
摘要: Generally the application of traditional adaptive control algorithm relies on the mathematic model of system. But mathematic models of some dynamic systems are difficult to establish. According to this actual problem and the existing structure of algorithm, an improved Model Free Adaptive control algorithm based on neural network is put forward in this paper. Within corresponding controller, equivalent proportion link is used to enhance the flexibility of adjustable parameters and speed, in addition, the estimate of sensitivity of process is used to update the values of the weighting factors, which can improve the actual application effect of neural network. In the end, simulation result shows that this algorithm can get the good performance in the aspect of stability, speed and adaptability.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8327
Appears in Collections:工业信息学研究室_会议论文

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Recommended Citation:
徐皑冬; 郑养波; 宋岩; 刘明哲.An Improved Model Free Adaptive Control Algorithm.见:IEEE.Proceedings of the 5th International Conference on Natural Computation (ICNC'09),,New York,2009,70-74
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