Bio-ethanol production optimization using ACD with ESN critic

Author

Iliev, V. ; Stoycheva, J. ; Angelov, M. ; Kostov, G. ; Koprinkova-Hristova, P. ; Popova, S.

Author_Institution

Univ. of Food Technol., Plovdiv, Bulgaria

fYear

2011

fDate

15-18 June 2011

Firstpage

606

Lastpage

610

Abstract

In the present paper on-line action-dependent heuristic neuro-dynamic programming was applied for optimization of a complex nonlinear production process. The approach is based on recurrent neural network architecture - Echo state network (ESN) - as critic network within the frame of adaptive critic design (ACD) scheme. The subject for optimization is bio-ethanol fermentation. The aim was to increase process productivity defining optimal dilution rate profile. The obtained by simulations results are good basis for further experimental investigations.

Keywords

CAD; biofuel; design engineering; dynamic programming; fermentation; production engineering computing; recurrent neural nets; ACD scheme; ESN critic; Echo state network; adaptive critic design scheme; bioethanol fermentation; bioethanol production optimization; complex nonlinear production process optimization; online action-dependent heuristic neurodynamic programming; optimal dilution rate profile; process productivity; recurrent neural network architecture; Artificial neural networks; Biomass; Ethanol; Optimization; Productivity; Training; action dependent heuristic dynamic programming; adaptive critic design; bio-ethanol production process; echo state network;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on

Conference_Location

Istanbul

Print_ISBN

978-1-61284-919-5

Type

conf

DOI

10.1109/INISTA.2011.5946167

Filename

5946167