Robust Fractional Order Differentiator
A robust fractional order differentiator is proposed to estimate the fractional order derivative of the given contaminated signal. Least square polynomial fitting technique is used to minimize the noise and Griinwald-Letnikov definition is used to calculate the fractional order derivative. A concise method is proposed to speed up the computation time and a parameter setting strategy is present for user. The frequency domain analysis demonstrates that the proposed differentiator essentially is a fractional order low-pass filter. The accuracy and robustness are evaluated by the experiments.
Fractional Order Differentiator Robust Least Squares.
Dali Chen YangQuan Chen Dingyu Xue
College of Information Science and Engineering. Northeastern University. Shenyang. 110004. China Center for Self-Organizing and Intelligent Systems (CSOIS). Department of Electrical and Computer En
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1037-1042
2012-05-23(万方平台首次上网日期,不代表论文的发表时间)