DocumentCode :
2127338
Title :
Application of learning control methods to a fed-batch fermentation process
Author :
Zhang, B.S. ; Jalel, N.A. ; Leigh, J.R.
Author_Institution :
Westminster Univ., UK
Volume :
1
fYear :
1994
fDate :
21-24 March 1994
Firstpage :
624
Abstract :
In this paper, some learning control methods are presented and their potential applications to the control of residual nitrogen concentration by controlling the nitrogen feed rate to the fed-batch fermentation process are investigated. The learning control methods presented include neural network control, self-organising fuzzy logic control, state learning control and time-sequence iterative learning control. These methods have something in common, but also each method has its own features.
Keywords :
fermentation; fuzzy control; learning systems; neural nets; process computer control; self-adjusting systems; fed batch fermentation process; learning control methods; neural network control; nitrogen feed rate; residual nitrogen concentration control; self organising fuzzy logic control; state learning control; time sequence iterative learning control;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Control, 1994. Control '94. International Conference on
Conference_Location :
Coventry, UK
Print_ISBN :
0-85296-610-5
Type :
conf
DOI :
10.1049/cp:19940204
Filename :
327073
Link To Document :
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