Nonsmooth Recursive Identification of Sandwich Systems with Backlash-Like Hysteresis

A recursive gradient identification algorithm based on the bundle method for sandwich systems with backlash-like hysteresis is presented in this paper. In this method, a dynamic parameter estimation scheme based on a subgradient is developed to handle the nonsmooth problem caused by the backlash embedded in the system. The search direction of the algorithm is estimated based on the so-called bundle method. Then, the convergence of the algorithm is discussed. After that, simulation results on a nonsmooth sandwich system are presented to validate the proposed estimation algorithm. Finally, the application of the proposed method to an X-Y moving positioning stage is illustrated.

[1]  Keith R. Godfrey,et al.  Identification of Wiener-Hammerstein models using linear interpolation in the frequency domain (LIFRED) , 2002, IEEE Trans. Instrum. Meas..

[2]  Vito Cerone,et al.  Bounding the parameters of linear systems with input backlash , 2007, Proceedings of the 2005, American Control Conference, 2005..

[3]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[4]  Christian Eitzinger,et al.  Nonsmooth training of fuzzy neural networks , 2004, Soft Comput..

[5]  Yonghong Tan,et al.  Recursive identification algorithm for dynamic systems with output backlash and its convergence , 2009, Int. J. Appl. Math. Comput. Sci..

[6]  R. Fletcher Practical Methods of Optimization , 1988 .

[7]  Kwang Y. Lee,et al.  Diagonal recurrent neural networks for dynamic systems control , 1995, IEEE Trans. Neural Networks.

[8]  C. Lemaréchal Chapter VII Nondifferentiable optimization , 1989 .

[9]  M. M. MÄKELÄ,et al.  Comparing Nonsmooth Nonconvex Bundle Methods in Solving Hemivariational Inequalities , 1999, J. Glob. Optim..

[10]  M. Boutayeb,et al.  Recursive identification method for MISO Wiener-Hammerstein model , 1995, IEEE Trans. Autom. Control..

[11]  Roy S. Smith,et al.  An inexact bundle method for solving large structured linear matrix inequalities , 2001 .

[12]  Er-Wei Bai,et al.  Identification of linear systems with hard input nonlinearities of known structure , 2002, Autom..

[13]  C. Lemaréchal Nondifferentiable optimization , 1989 .

[14]  Fouad Giri,et al.  Identification of Hammerstein systems in presence of hysteresis-backlash and hysteresis-relay nonlinearities , 2008, Autom..

[15]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[16]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[17]  Yonghong Tan,et al.  On-line identification algorithm and convergence analysis for sandwich systems with backlash , 2011 .

[18]  Georgi M. Dimirovski,et al.  Dynamic output feedback robust H∞ control of uncertain switched nonlinear systems , 2011 .

[19]  Steve McLaughlin,et al.  Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with Hermite polynomial expansions , 2001, IEEE Trans. Signal Process..

[20]  Yonghong Tan,et al.  Recursive identification for dynamic systems with backlash , 2009 .