Title :
Some experiments on identification of a fed-batch culture via differential neural networks
Author :
Cabrera, A. ; Poznyak, A. ; Poznyak, T. ; Aranda, J.
Author_Institution :
Unidad Profesional Interdisciplinaria de Biotecnologia-IPN, Mexico
Abstract :
To identify Saccharomyces cereviseae fed-batch fermentation process a differential (dynamic in continuous time) neural network (DNN) is suggested. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning
Keywords :
adaptive control; batch processing (industrial); continuous time systems; fermentation; neural nets; Saccharomyces cereviseae fed-batch fermentation process; continuous time system; differential neural networks; dynamic equations; fed-batch culture identification; Adaptive control; Backpropagation; Biotechnology; Equations; Laboratories; Neural networks; Parameter estimation; Robust control; State estimation; Uniform resource locators;
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
DOI :
10.1109/CCA.2001.973855
