Identification of a Wiener–Hammerstein system using an incremental nonlinear optimisation technique

Citation

Tan, Ai Hui and Wong, Hin Kwan and Godfrey, Keith (2012) Identification of a Wiener–Hammerstein system using an incremental nonlinear optimisation technique. Control Engineering Practice, 20 (11). pp. 1140-1148. ISSN 09670661

[img] PDF
nov12-1.pdf
Restricted to Repository staff only

Download (0B)

Abstract

A method for black-box identification of a Wiener-Hammerstein system is described and applied to a set of Benchmark data originally presented at the 15th IFAC Symposium on System Identification. An incremental nonlinear optimisation procedure is used, which is able to avoid local minima, thus enabling the solution to converge to the global minimum. The use of a dual-polynomial to describe the static nonlinearity allows the number of parameters needed to be significantly reduced compared with the case if a single polynomial is utilised: this also improves robustness against extrapolation errors. The overall approach requires a relatively small number of parameters. (C) 2012 Elsevier Ltd. All rights reserved.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 28 Dec 2012 07:32
Last Modified: 28 Dec 2012 07:32
URII: http://shdl.mmu.edu.my/id/eprint/3681

Downloads

Downloads per month over past year

View ItemEdit (login required)