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A comparative study of multilayered and single layered neural network based predictive controllers

Kambhampati, C., Warwick, K. and Berger, C. S. (1992) A comparative study of multilayered and single layered neural network based predictive controllers. In: First International Conference on Intelligent Systems Engineering, 1992. IEE, pp. 293-298. ISBN 0852965494

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Abstract/Summary

The authors compare the performance of two types of controllers one based on the multilayered network and the other based on the single layered CMAC network (cerebellar model articulator controller). The neurons (information processing units) in the multi-layered network use Gaussian activation functions. The control scheme which is considered is a predictive control algorithm, along the lines used by Willis et al. (1991), Kambhampati and Warwick (1991). The process selected as a test bed is a continuous stirred tank reactor. The reaction taking place is an irreversible exothermic reaction in a constant volume reactor cooled by a single coolant stream. This reactor is a simplified version of the first tank in the two tank system given by Henson and Seborg (1989).

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21729
Uncontrolled Keywords:Gaussian activation functions, constant volume reactor, continuous stirred tank reactor, irreversible exothermic reaction, multilayered network, neural network, predictive control algorithm, predictive controllers, single coolant stream, single layered CMAC network
Publisher:IEE

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