发明名称 |
Method for identifying Hammerstein models |
摘要 |
The computerized method for identifying Hammerstein models is a method in which the linear dynamic part is modeled by a space-state model and the static nonlinear part is modeled using a radial basis function neural network (RBFNN). Accurate identification of a Hammerstein model requires that output error between the actual and estimated systems be minimized. Thus, the problem of identification is an optimization problem. A hybrid algorithm, based on least mean square (LMS) principles and the Subspace Identification Method (SIM) is developed for the identification of the Hammerstein model. LMS is a gradient-based optimization algorithm that searches for optimal solutions in the negative direction of the gradient of a cost index. In the method, LMS is used for estimating the parameters of the RBFNN. For estimation of state-space matrices, the N4SID algorithm for subspace identification is used. |
申请公布号 |
US8260732(B2) |
申请公布日期 |
2012.09.04 |
申请号 |
US20090591605 |
申请日期 |
2009.11.24 |
申请人 |
AL-DUWAISH HUSSAIN N.;RIZVI SYED Z.;KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS |
发明人 |
AL-DUWAISH HUSSAIN N.;RIZVI SYED Z. |
分类号 |
G06E1/00;G06E3/00;G06F15/18;G06G7/00 |
主分类号 |
G06E1/00 |
代理机构 |
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