Control of a bioprocess using orthonormal basis function fuzzy models

Author

Campello, R.J.G.B. ; Meleiro, L.A.C. ; Amaral, W.C.

Author_Institution

COPOP, UniSantos, Santos, Brazil

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

801

Abstract

Fuzzy models within the framework of orthonormal basis functions (OBF fuzzy models) were introduced in previous works and have shown to be a very promising approach to the areas of non-linear system identification and control since they exhibit several advantages over those dynamic model architectures usually adopted in the literature. In the present paper these models are reviewed and used as a basis for a predictive control scheme which is applied to the control of a process for ethyl alcohol (ethanol) production.

Keywords

biocontrol; chemical industry; fuzzy control; fuzzy set theory; identification; nonlinear control systems; predictive control; process control; production control; bioprocess control; dynamic model architectures; ethanol production; ethyl alcohol production; nonlinear system control; nonlinear system identification; orthonormal basis function fuzzy models; predictive control; Control system synthesis; Ethanol; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear dynamical systems; Predictive control; Predictive models; Process control; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375504

Filename

1375504