TY - GEN
T1 - Fuzzy-neural control of a distributed parameter bioprocess plant
AU - Baruch, Ieroham
AU - Galvan-Guerra, Rosalba
AU - Mariaca-Gaspar, Carlos Roman
AU - Castillo, Oscar
PY - 2008
Y1 - 2008
N2 - In the paper it is proposed a new recurrent Fuzzy-Neural Multi-Model (FNMM) identifier applied for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion bioprocess, carried out in a fixed bed and a recirculation tank. The distributed parameter analytical model of the digestion bioprocess is reduced to a lumped system using the orthogonal collocation method, applied in three collocation points (plus the recirculation tank), which are used as centers of the membership functions of the fuzzyfied space variable of the plant. The states of the proposed FNMM identifier are implemented by a direct feedback-feedforward hierarchical fuzzy-neural controller. The comparative graphical simulation results of the digestion wastewater treatment system identification and control, obtained via learning, exhibited a good convergence, and precise reference tracking outperforming the optimal control.
AB - In the paper it is proposed a new recurrent Fuzzy-Neural Multi-Model (FNMM) identifier applied for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion bioprocess, carried out in a fixed bed and a recirculation tank. The distributed parameter analytical model of the digestion bioprocess is reduced to a lumped system using the orthogonal collocation method, applied in three collocation points (plus the recirculation tank), which are used as centers of the membership functions of the fuzzyfied space variable of the plant. The states of the proposed FNMM identifier are implemented by a direct feedback-feedforward hierarchical fuzzy-neural controller. The comparative graphical simulation results of the digestion wastewater treatment system identification and control, obtained via learning, exhibited a good convergence, and precise reference tracking outperforming the optimal control.
UR - http://www.scopus.com/inward/record.url?scp=55249123820&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2008.4630676
DO - 10.1109/FUZZY.2008.4630676
M3 - Contribución a la conferencia
AN - SCOPUS:55249123820
SN - 9781424418190
T3 - IEEE International Conference on Fuzzy Systems
SP - 2208
EP - 2215
BT - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
T2 - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Y2 - 1 June 2008 through 6 June 2008
ER -