Quasilinear Extreme Learning Machine Model Based Internal Model Control for Nonlinear Process

A new strategy for internal model control (IMC) is proposed using a regression algorithm of quasilinear model with extreme learning machine (QL-ELM). Aimed at the chemical process with nonlinearity, the learning process of the internal model and inverse model is derived. The proposed QL-ELM is const...

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Bibliographic Details
Published in:	Mathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 9
Main Authors:	Li, Dazi, Jin, Qibing, Xie, Qianwen
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2015 John Wiley & Sons, Inc
Subjects:	Algorithms Approximation Artificial neural networks Coefficients Convergence Extreme values Identification Inverse Learning Machine learning Mathematical models Neural networks Nonlinear control Nonlinearity Parameter estimation Parameter identification Regression models Strategy Support vector machines Beijing China China
ISSN:	1024-123X, 1563-5147
Online Access:	Get full text
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