Name: Soft-sensing and Decoupling Control in Microbial Fermentation Process (en Inglés)
Price: 301831.00 COP
Availability: InStock
Author: Zhu, Xianglin ; Wang, Bo
ISBN: 9786200095183

portada Soft-sensing and Decoupling Control in Microbial Fermentation Process (en Inglés)

Soft-sensing and Decoupling Control in Microbial Fermentation Process (en Inglés)

Formato

Libro Físico

Autor

Bo Wang

Xianglin Zhu

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

176

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.0 cm

Peso

0.27 kg.

ISBN13

9786200095183

Categorías

Microbiología (no médica)

Soft-sensing and Decoupling Control in Microbial Fermentation Process (en Inglés)

Bo Wang (Autor) · Xianglin Zhu (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Soft-sensing and Decoupling Control in Microbial Fermentation Process (en Inglés)"

The soft-sensing and optimal control of microbial fermentation process has become an important research content in the biotechnology field. It is of great significance to improve the level of equipment automation, promote the innovation of biotechnology technology, improve production efficiency and economic efficiency.In this book, the inverse soft sensing model of fermentation process is constructed by combining inverse system method and least square support vector machine theory(LS-SVM), LS-SVM is used to approximate the nonlinear function which is difficult to express explicitly in the inverse soft-sensing model, and the support is established. Secondly, in order to realize decoupling and optimal control of multivariable nonlinear systems, the inverse control method of LS-SVM is proposed, and the inverse system method is combined with IMC. A new method of internal model control for inverse system based on LS-SVM is proposed, which improves the robustness and anti-jamming ability of the inverse control method. Furthermore, the theoretical results are applied to the development of engineering software, and good results are obtained.