Abstract—Biological processes are complex, nonlinear uncertain systems and the state variables are not all available for measurement. For that, fuzzy modeling and state estimations are powerful methods for the control and diagnosis of these kind of systems. In this paper, we present some results obtained from the design of fuzzy controller and fuzzy sliding mode observer for an anaerobic digestion system.

Index Terms—Anaerobic digester, fuzzy controller, linear matrix inequalities, robust state estimation, T-S fuzzy modeling.

Mouna Boughamsa is with Laboratory of Automatic and Signas Annaba (LASA), Badji-Mokhtar University, Department of Electronic, Annaba, Algeria. (e-mail: boughamsamouna@yahoo.fr).
Messaoud Ramdani is with the Department of Electronics, Faculty of Engineering, University Badji-Mokhtar of Annaba, Algeria. (e-mail: messaoud.ramdani@univ-annaba.dz)

 

Cite:Mouna Boughamsa and Messaoud Ramdani, "Robust Fuzzy Control for Anaerobic Digestion System Subject to Unknown Inputs," International Journal of Computer and Electrical Engineering vol. 6, no.3, pp. 226-230, 2014.