An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
An adaptive inverse control method based on Least Squares support vector machine (LS-SVM) is studied in this paper.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
In this adaptive inverse control mechanism, the inverse model is updated through recursive least squares algorithm, and controller is adjusted online according to method of filter.
在这种自适应逆控制机制中，逆模型通过递归最小二乘算法更新，控制器依据-滤波进行在线调整。
In this adaptive inverse control mechanism, the inverse model is updated through recursive least squares algorithm, and controller is adjusted online according to method of filter.
在这种自适应逆控制机制中，逆模型通过递归最小二乘算法更新，控制器依据-滤波进行在线调整。
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