Parameter Estimation for Wiener Systems with Preload Nonlinearities

Abstract:

This paper proposes a recursive least squares algorithm for Wiener systems. We use a switching function to turn the modelof the nonlinear Wiener systems into an identification model, then propose a recursive least squares identification algorithm toestimate all the unknown parameters of the systems. Finally, an example is provided to show the effectiveness of the proposed algorithm.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 1460-1463
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.1460
• Online since: July 2014
• Authors: Yun Xia Ni*, Jian Dong Cao
• Keywords: Parameter Estimation, Recursive Least Squares Algorithm, Switching Function, Wiener System

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