An adaptive fuzzy hybrid state observer for bioprocesses

In order to monitor and control bioprocesses, online measurements of certain biological variables, like biomass concentration, are normally required. Unfortunately, there is a lack of highly reliable and low cost instruments for online measuring these important variables. These limitations have moti...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 12; no. 5; pp. 641 - 651
Main Authors Ascencio, P., Sbarbaro, D., de Azevedo, S.F.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Biological control systems
Biological system modeling
Biomass
Convergence
Costs
Dynamical systems
Dynamics
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy systems
Instruments
Kinetic theory
Mathematical models
Monitoring
Observers
Robust stability
State observers
Online AccessGet full text

Cover

More Information
Summary:In order to monitor and control bioprocesses, online measurements of certain biological variables, like biomass concentration, are normally required. Unfortunately, there is a lack of highly reliable and low cost instruments for online measuring these important variables. These limitations have motivated the use of observers. This paper describes a state observer for bioprocesses based on a hybrid fuzzy model. The model combines the mass balances and a fuzzy inference system for approximating the uncertain dynamic of the kinetic reactions. The convergence, stability, and robustness of the observer are analyzed. The main features of this observer are illustrated by considering a lactic fermentation.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2004.834815