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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16859
Title: ANN controller for binary distillation column - A Marquardt-Levenberg approach
Authors: Singh A.K.
Tyagi B.
Kumar V.
Published in: Proceedings of 2011 Nirma University International Conference on Engineering: Current Trends in Technology, NUiCONE 2011
Abstract: Artificial neural networks can provide good empirical controllers for complex nonlinear processes, because they are nets of basis functions that are useful for many purposes including process control. It is shown here that how artificial neural networks can design the column controller and demonstrate that the network controller is as good as or better than a fuzzy rule based controller. This paper investigates the design of a neural network based controller to control the concentration of the overhead and bottom product in the model of a distillation column. © 2011 IEEE.
Citation: Proceedings of 2011 Nirma University International Conference on Engineering: Current Trends in Technology, NUiCONE 2011, (2011). Ahmedabad, Gujarat
URI: https://doi.org/10.1109/NUiConE.2011.6153307
http://repository.iitr.ac.in/handle/123456789/16859
Issue Date: 2011
Keywords: Distillation column
Marquardt-Levenberg Algorithm
neural networks
ISBN: 9781457721694
Author Scopus IDs: 56330906800
7005609418
57202530521
Author Affiliations: Singh, A.K.
Tyagi, B.
Kumar, V.
Corresponding Author: Singh, A.K.
Appears in Collections:Conference Publications [EE]

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