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Wiener System identification using B-spline functions with De Boor recursion

Hong, X., Mitchell, R. and Chen, S. (2011) Wiener System identification using B-spline functions with De Boor recursion. In: SSPD 2011: Sensor Signal Processing for Defence, 27-29 September 2011, Imperial College, London.

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Abstract/Summary

A simple and effective algorithm is introduced for the system identification of Wiener system based on the observational input/output data. The B-spline neural network is used to approximate the nonlinear static function in the Wiener system. We incorporate the Gauss-Newton algorithm with De Boor algorithm (both curve and the first order derivatives) for the parameter estimation of the Wiener model, together with the use of a parameter initialization scheme. The efficacy of the proposed approach is demonstrated using an illustrative example.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:23043
Uncontrolled Keywords:Communication, Networking & Broadcasting ; Components, Circuits, Devices & Systems ; Computing & Processing (Hardware/Software) ; Fields, Waves & Electromagnetics ; Photonics & Electro-Optics ; Power, Energy, & Industry Applications ; Robotics & Control Systems ; Signal Processing & Analysis
Additional Information:DOI: 10.1049/ic.2011.0138

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