Application of a general multi-model approach for identification of highly nonlinear processes-a case study
作者:
M. POTTMANN,
H. UNBEHAUEN,
D. E. SEBORG,
期刊:
International Journal of Control
(Taylor Available online 1993)
卷期:
Volume 57,
issue 1
页码: 97-120
ISSN:0020-7179
年代: 1993
DOI:10.1080/00207179308934380
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An identification method for highly nonlinear processes is proposed based on a multi-model approach and Kolmogorov-Gabor polynomials. Owing to the large number of possible terms in this general model structure, the significant terms are selected by several statistical test procedures leading automatically to a minimal-order model realization. The performance of this method is evaluated in an in-depth case study using a simulated pHneutralization process. The effects of important variables such as range of operating conditions, signal-/noise-ratio, and data length are discussed.
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