NDLI: Feedforward Decoupling Intelligent Algorithm for Multivariable Based on FNN and Its Application in Biology Fermentation Control

Content Provider	IEEE Xplore Digital Library
Author	Yefei Liu Dean Zhao Xianglin Zhu Yuejun Wang
Copyright Year	2010
Abstract	The coupling relations of all variables during fermentation process with fermentation are discussed. Since the parameters are always changing as time-varying, nonlinearity and randomicity during biology fermentation control process. the scheme for biology fermentation control process using feed forward decoupling intelligent algorithm for multivariable based on FNN is presented. Fuzzy-Neural controller and decoupling units were designed independently, where the Fuzzy controller combined with neural network and the radial basis function neural network was employed for decoupling. The optimized training algorithm based on the system output error was used for online adjustment of network weights, thus realizing dynamic decoupling, which eliminated the need of identifying the plants. This method, with a simple architecture and a small amount of computation is proved to be effective by simulation and application results.
Starting Page	1010
Ending Page	1013
File Size	390384
Page Count	4
File Format	PDF
ISBN	9781424468805
e-ISBN	9781424468812
DOI	10.1109/iCECE.2010.256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Heuristic algorithms Artificial neural networks Control systems Biology Agitation Speed Fermentation Fuzzy control Fuzzy Neural Network Decoupling Control Fuzzy neural networks Dissolved Oxygen Coupling
Content Type	Text
Resource Type	Article

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