An Adaptive Fuzzy Feedforward-Feedback Control System Applied to a Saccharification Process

References

[1] Stephanopoulos G. Chemical process control: an introduction to theory and practice. New Jersey: Prentice-Hall; 1984.Suche in Google Scholar

[2] Seborg DE, Edgar TF, Mellichamp DA. Process dynamics and control. New Jersey: John Wiley and Sons; 2011.Suche in Google Scholar

[3] Gúzman JL, Hägglund T. Simple tuning rules for feedforward compensators. J Process Control. 2011;21(1):92–102.10.1016/j.jprocont.2010.10.007Suche in Google Scholar

[4] Rodríguez C, Gúzman JL, Berenguel M, Hägglund T. Generalized feedforward tuning rules for non-realizable delay inversion. J Process Control. 2013;23(9):1241–50.10.1016/j.jprocont.2013.08.001Suche in Google Scholar

[5] Veronesi M, Visioli A. Automatic tuning of feedforward controllers for disturbance rejection. Ind Eng Chem Res. 2014;53(7):2764–70.10.1021/ie403089fSuche in Google Scholar

[6] Gúzman JL, Hägglund T, Veronesi M, Visioli A. Performance indices for feedforward control. J Process Control. 2015;26:26–34.10.1016/j.jprocont.2014.12.004Suche in Google Scholar

[7] Chen L, Nguang SK, Chen XD, Li XM. Modelling and optimization of fed-batch fermentation processes using dynamic neural networks and genetic algorithms. Biochem Eng J. 2004;22(1):51–61.10.1016/j.bej.2004.07.012Suche in Google Scholar

[8] Ashoori A, Moshiri B, Khaki-Sedigh A, Bakhtiari MR. Optimal control of a nonlinear fed-batch fermentation process using model predictive approach. J Process Control. 2009;19(7):1162–73.10.1016/j.jprocont.2009.03.006Suche in Google Scholar

[9] Zhao Z, Cui H, Zhang J, Sun AJ. Adaptive fuzzy control for synchronization of coronary artery system with input nonlinearity. IEEE Access. 2018;6:7082–87.10.1109/ACCESS.2017.2779118Suche in Google Scholar

[10] Honda H, Kobayashi T. Fuzzy control of bioprocesses. J Biosci Bioeng. 2000;89(5):401–08.10.1016/S1389-1723(00)89087-8Suche in Google Scholar PubMed

[11] Horiuchi J-I, Kishimoto M. Application of fuzzy control to industrial bioprocesses in Japan. Fuzzy Sets Syst. 2002;128(1):117–24.10.1016/S0165-0114(01)00090-2Suche in Google Scholar

[12] Horiuchi J-I. Fuzzy modeling and control of biological processes. J Biosci Bioeng. 2002;94(6):574–78.10.1016/S1389-1723(02)80197-9Suche in Google Scholar PubMed

[13] Gadkar KG, Mehra S, Gomes J. On-line adaptation of neural networks for bioprocess control. Comput. Chem. Eng. 2005;29(5):1047–57.10.1016/j.compchemeng.2004.11.004Suche in Google Scholar

[14] Li H, Gatland HB. Convetional fuzzy control and its enhancement. IEEE Trans. Syst., Man, Cybern B, Cybern. 1996;26(5):791–96.10.1109/3477.537321Suche in Google Scholar

[15] Wakabayashi C, Embiruçu M, Fontes C, Kalid R. Fuzzy control of a nylon polymerization semi-batch reactor. Fuzzy Set Syst. 2009;160:537–53.10.1016/j.fss.2008.08.009Suche in Google Scholar

[16] Eker I, Torun Y. Fuzzy logic control to be a conventional method. Energy Convers Manage. 2006;47(4):377–94.10.1016/j.enconman.2005.05.008Suche in Google Scholar

[17] Precup R-E, Hellendoorn H. A survey on industrial applications of fuzzy control. Comput Ind. 2011;62(3):213–26.10.1016/j.compind.2010.10.001Suche in Google Scholar

[18] Babuska R, Oosterhoff J, Oudshoorn A, Bruijn PM. Fuzzy self-tuning PI control of pH in fermentation. Eng Appl Artif Intell. 2002;15(1):3–15.10.1016/S0952-1976(02)00003-9Suche in Google Scholar

[19] Fonseca RR, Schmitz JE, Fileti AMF, Silva FV. A fuzzy-split range control system applied to a fermentation process. Bioresour Technol. 2013;142:475–82.10.1016/j.biortech.2013.05.083Suche in Google Scholar PubMed

[20] Fonseca RR, Fileti AMF, Franco IC, Silva FV. Experimental fuzzy/split-range control: novel strategy for biodiesel batch reactor temperature control. Chem. Eng. Commun. 2016;203(9):1251–59.10.1080/00986445.2016.1172484Suche in Google Scholar

[21] Wang L, Basin M, Li H, Lu R. Observer-based composite adaptive fuzzy control for nonstrict-feedback systems with actuator failures. IEEE Trans. Fuzzy Syst. 2017. DOI: 10.1109/TFUZZ.2017.2774185,Suche in Google Scholar

[22] Sun K, Sui S, Tong S. Fuzzy adaptive decentralized optimal control for strict feedback nonlinear large-scale systems. IEEE Trans Cybern. 2017;48(4):1326 –39.10.1109/TCYB.2017.2692384Suche in Google Scholar PubMed

[23] Sui S, Tong S. Fuzzy adaptive quantized output feedback tracking control for switched nonlinear systems with input quantization. Fuzzy Set Syst. 2018;290:56–78.10.1016/j.fss.2015.07.012Suche in Google Scholar

[24] Li Y, Sun K, Tong S. Observer-based adaptive fuzzy fault-tolerant optimal control for SISO nonlinear systems. IEEE Trans Cybern. 2018. DOI: 10.1109/TCYB.2017.2785801,Suche in Google Scholar PubMed

[25] Ochoa S, Repke J-U, Wozny G. Integrating real-time optimization and control for optimal operation: application to the bio-ethanol process. Chem. Eng. J. 2010;53(1):18–25.10.1016/j.bej.2009.01.005Suche in Google Scholar

[26] Ochoa S, Wozny G, Repke J-U. Plantwide optimizing control of a continuous bioethanol production process. J Process Control. 2010;20(9):983–98.10.1016/j.jprocont.2010.06.010Suche in Google Scholar

[27] Polakovič M, Bryjak J. Modelling of potato starch saccharification by an Aspergillus niger glucoamylase. Biochem Eng J. 2004;18(1):57–63.10.1016/S1369-703X(03)00164-5Suche in Google Scholar

[28] Reznik L. Fuzzy controllers. Oxford: Newnes: Butterworth-Heinemann, 1997Suche in Google Scholar