Please use this identifier to cite or link to this item:
|Title:||Online parameter estimation and compensation of preisach hysteresis by SVD updating|
Singular value decomposition
|Source:||Lei, L.,Tan, K.K.,Huang, S.,Lee, T.H. (2011). Online parameter estimation and compensation of preisach hysteresis by SVD updating. IFAC Proceedings Volumes (IFAC-PapersOnline) 18 (PART 1) : 5249-5254. ScholarBank@NUS Repository. https://doi.org/10.3182/20110828-6-IT-1002.00608|
|Abstract:||Preisach model can be used to describe the hysteresis in smart actuators. In this paper, online parameter identification by singular value decomposition (SVD) updating is presented for Preisach hysteresis. Firstly, SVD in least squares sense is used to obtain the pseudo inverse. However, it is time-consuming to compute singular values for large matrix, and PE condition is not always satisfied. Secondly, the SVD of large matrix is transformed to low order thin matrix, then, based on the initial result of offline SVD, online SVD updating is given by rotating basis which needs to be revised when new data is large. Finally, inverse Preisach feedforward is used to compensate the hysteresis. © 2011 IFAC.|
|Source Title:||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 11, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.