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Application of a neural network to evaluation of interactions in a MIMO process

✍ Scribed by Takehiro Ohba; Masaru Ishida

Publisher
American Institute of Chemical Engineers
Year
1998
Tongue
English
Weight
566 KB
Volume
44
Category
Article
ISSN
0001-1541

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✦ Synopsis

Abstract

A neural‐net controller for multivariable systems is presented. The neural network for this controller has a structure in which small neural‐net controllers for SISO systems are assembled and offers a unique path from the controlled variable to the manipulated variable. By using such a structured assembly, the interactions among the controlled and manipulated variables can be evaluated. The simulation results for both a linear three‐input and three‐output system and a crystal‐growth process indicate that the proposed controller has the ability to learn the interactions between the control variables and to disclose the features of the interactions.

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