Several on-line optimizing control strategies were proposed and tested by computer simulation for the efficient operation of bioreactors. The control task was divided into two, one of which was to search for the optimal operating point and passed the set point to the lower layer of which task was to
β¦ LIBER β¦
Adaptive on-line optimal control of bioreactors: application to anaerobic degradation
β Scribed by G. Ryhiner; I.J. Dunn; E. Heinzle; S. Rohani
- Book ID
- 119131799
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 809 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0168-1656
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In this paper, we present two on-line adaptive control algorithms for non-linear plants using neural networks. The architecture used is based on the concept of specialized learning, which was first proposed by Psaltis et al. and suffers from two main problems, namely lack of knowledge of the plant J