Tendulkar, Shilpa B. ; Tambe, Sanjeev S. ; Chandra, Ishwar ; Rao, P. V. ; Naik, R. V. ; Kulkarni, B. D. (1998) Hydroxylation of phenol to dihydroxybenzenes: development of artificial neural-network-based process identification and model predictive control strategies for a pilot plant scale reactor Industrial & Engineering Chemistry Research, 37 (6). pp. 2081-2085. ISSN 0888-5885
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Official URL: http://pubs.acs.org/doi/abs/10.1021/ie970509b
Related URL: http://dx.doi.org/10.1021/ie970509b
Abstract
Experiments in a pilot-scale fixed-bed reactor system have been conducted to obtain the process input-output data for the titanium-based zeolite-catalyzed hydroxylation of phenol to dihydroxybenzenes. An artificial neural-network-based strategy has been used for identifying the process model covering the range of experimental conditions. The identified neural network model has been used to design a model predictive controller that has been tested on the experimental rig.
Item Type: | Article |
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Source: | Copyright of this article belongs to American Chemical Society. |
ID Code: | 17210 |
Deposited On: | 16 Nov 2010 08:12 |
Last Modified: | 06 Jun 2011 09:28 |
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