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Article
Improvement Of Parameter Estimation for Non-Linear Hysteretic Systems With Slip By A Fast Bayesian Bootstrap Filter
International Journal of Non-Linear Mechanics
  • S. J. Li, Wuhan University of Technology
  • Yoshiyuki Suzuki, Kyoto University
  • Mohammad N. Noori, North Carolina State University at Raleigh
Publication Date
11-1-2004
Abstract

Modeling and identification of non-linear hysteretic systems are widely encountered in the structural dynamics field, especially for the hysteresis with slip. A model, called SL model, which can describe the pinching of most practical hysteresis loops perfectly was proposed by Baber and Noori (J. Eng. Mech. 111 (1985) 1010). A method of estimating the parameters of SL model on the basis of input–output data based on bootstrap filter was proposed by the writers. Bootstrap filter is a filtering method based on Bayesian state estimation and Monte Carlo method, which has the great advantage of being able to handle any functional non-linearity and system and/or measurement noise of any distribution. The standard bootstrap filter, however, is not time efficient, i.e., it is very time consuming and is not suitable for real-time applications. In this paper, previous work by the writers is extended to do the parameter estimation of SL model by a fast Bayesian bootstrap filtering technique. Simulation results are presented to demonstrate the performance of the algorithm.

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Citation Information
S. J. Li, Yoshiyuki Suzuki and Mohammad N. Noori. "Improvement Of Parameter Estimation for Non-Linear Hysteretic Systems With Slip By A Fast Bayesian Bootstrap Filter" International Journal of Non-Linear Mechanics Vol. 39 Iss. 9 (2004) p. 1435 - 1445
Available at: http://works.bepress.com/mnoori/21/