基于扩展卡尔曼滤波的非线性带滑移滞变系统的实时估计
Identification of Nonlinear Hysteretic Systems with Slip by Extended Kalman Filter
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摘要: 利用扩展卡尔曼滤波方法对Baber与Noori提出的带滑移滞变模型进行了参数的实时估计。考虑到该方法在收敛性上对参数初始值的选取的依赖性较强,提出了一种用于确定各参数初始估计值的方法。计算实例表明了该方法的有效性和实用性。Abstract: Using extended Kalman filter technique, this paper presents a method for estimating the parameters of a smoothed hysteretic model with slip proposed by Baber and Noori on the basis of inputoutput data.Considering the fact that the choice of initial estimates of parameters is very important for the convergence of estimation procedure, the authors suggest a way to decide the initial estimates of parameters.
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