TY - GEN
T1 - Centralized indirect control of an anaerobic digestion bioprocess using recurrent neural identifier
AU - Baruch, Ieroham S.
AU - Galvan-Guerra, Rosalba
AU - Nenkova, Boyka
PY - 2008
Y1 - 2008
N2 - The paper proposed to use a Recurrent Neural Network Model (RNNM) and a dynamic Backpropagation learning for centralized identification of an anaerobic digestion bioprocess, carried out in a fixed bed and a recirculation tank of a wastewater treatment system. The anaerobic digestion bioprocess represented a distributed parameter system, described by partial differential equations. The analytical model is simplified to a lumped ordinary system using the orthogonal collocation method, applied in three collocation points, generating data for the neural identification. The obtained neural state and parameter estimations are used to design an indirect sliding mode control of the plant. The graphical simulation results of the digestion wastewater treatment indirect control exhibited a good convergence and precise reference tracking.
AB - The paper proposed to use a Recurrent Neural Network Model (RNNM) and a dynamic Backpropagation learning for centralized identification of an anaerobic digestion bioprocess, carried out in a fixed bed and a recirculation tank of a wastewater treatment system. The anaerobic digestion bioprocess represented a distributed parameter system, described by partial differential equations. The analytical model is simplified to a lumped ordinary system using the orthogonal collocation method, applied in three collocation points, generating data for the neural identification. The obtained neural state and parameter estimations are used to design an indirect sliding mode control of the plant. The graphical simulation results of the digestion wastewater treatment indirect control exhibited a good convergence and precise reference tracking.
KW - Anaerobic digestion bioprocess
KW - Backpropagation learning
KW - Distributed parameter system
KW - Recurrent neural network model
KW - Sliding mode control
KW - Systems identification
KW - Wastewater treatment bioprocess
UR - http://www.scopus.com/inward/record.url?scp=52149091689&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85776-1_25
DO - 10.1007/978-3-540-85776-1_25
M3 - Contribución a la conferencia
SN - 3540857753
SN - 9783540857754
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 297
EP - 310
BT - Artificial Intelligence
T2 - 13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008
Y2 - 4 September 2008 through 6 September 2008
ER -