Abstract
A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities. The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone, based on which a universal-type parametric model can be established to approximate the entire system. This model can be established without separating the nonlinear part from the linear part. The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm. Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.
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This work was supported by the National Natural Science Foundation of China (Nos. 60974046, 61011130163).
Xiaohua LÜ received his B.E. degree in Department of Automatic Control from Beijing Institute of Technology, China, in 2006. He is currently working towards the Ph.D. degree in the School of Automation at Beijing Institute of Technology, China.
Xuemei REN received her B.S. degree from Shandong University, China, in 1989, and the M.S. and Ph.D. degrees in Control Engineering from Beihang University, China, in 1992 and 1995, respectively. She is currently a professor in the School of Automation, Beijing Institute of Technology, Beijing, China. Her research interests include intelligent systems, neural networks, adaptive and nonlinear control.
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Lü, X., Ren, X. Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model. J. Control Theory Appl. 10, 511–516 (2012). https://doi.org/10.1007/s11768-012-0175-y
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DOI: https://doi.org/10.1007/s11768-012-0175-y