Analysis and identification of non-linear systems via shifted Jacobi series
作者:
ING-RONG HORNG,
JYH-HORNG CHOU,
期刊:
International Journal of Control
(Taylor Available online 1987)
卷期:
Volume 45,
issue 1
页码: 279-290
ISSN:0020-7179
年代: 1987
DOI:10.1080/00207178708933728
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Based on shifted Jacobi series, algorithms have been established for the analysis and identification of non-linear systems described by a Hammerstein model consisting of a single-valued non-linearity followed by a linear plant. Moreover, the parameter estimation of a certain non-linear lumped system is also presented. By using the shifted Jacobi expansion for the analysis, the solution of a non-linear state equation is reduced to the solution of a linear algebraic matrix equation. For the identification, by expanding the measured input-output data into the shifted Jacobi series the unknown parameters of the non-linear system are estimated through the least-squares method. Examples are given to demonstrate the usefulness of this approach.
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