Knowledge-based control of fermentation processes.

A decade has passed since the first applications of a knowledge-based approach to the control of bioprocesses were reported. During this period, both the development and application of intelligent control in biotechnology have undergone remarkable evolution in terms of concepts, objectives, and tools. Stimulated by rapid progress in the field of real-time expert systems, knowledge-based methodology for the control of fermentation processes has now reached a more mature phase. A growing interest among the biotechnology community and intensive, realistic, and fruitful research being undertaken both in universities and in industry suggest that large-scale application of knowledge-based systems for the control of bioprocesses is inevitable. This article provides a concise summary of the main achievements in this new area and discusses recent trends, problems, and perspectives.

[1]  Karl Johan Åström,et al.  ARTIFICIAL INTELLIGENCE AND FEEDBACK CONTROL , 1989 .

[2]  M. J. Flanagan On the application of approximate reasoning to control of the activated sludge process , 1980 .

[3]  Michimasa Kishimoto,et al.  Application of the Fuzzy Theory to Simulation of Batch Fermentation , 1985 .

[4]  K Konstantinov,et al.  Physiological state control of fermentation processes , 1989, Biotechnology and bioengineering.

[5]  Michio Sugeno,et al.  Industrial Applications of Fuzzy Control , 1985 .

[6]  Yoshinobu Yamada,et al.  Application of Fuzzy Control System to Coenzyme Q10 Fermentation , 1991 .

[7]  Ka-Yiu San,et al.  Process Analysis and Identification with a Real Time Intelligent Bioreactor Supervisory Controller , 1990, 1990 American Control Conference.

[8]  M. N. Karim,et al.  Reconciliation of Measurement Data in Fermentation Using On-line Expert System , 1989 .

[9]  T. Nakamura,et al.  Fuzzy Control Application to Glutamic Acid Fermentation , 1985 .

[10]  I. M. MacLeod,et al.  Using discrete AI techniques for designing a real-world control supervisor , 1989 .

[11]  Tao Yang,et al.  Intelligent Control for Cell Culture Processes , 1989, 1989 American Control Conference.

[12]  Qi Chen,et al.  Application of Expert System to the Operation and Control of Industrial Antibiotic Fermentation Process , 1989 .

[13]  Hajime Asama,et al.  An Expert System for Cultivating Operations , 1990 .

[14]  Toshiomi Yoshida,et al.  A knowledge-based pattern recognition approach for real-time diagnosis and control of fermentation processes as variable structure plants , 1991, IEEE Trans. Syst. Man Cybern..

[15]  M. Aynsley,et al.  A Real-Time Knowledge-Based System for Fermentation Control , 1989, 1989 American Control Conference.

[16]  M. Aynsley,et al.  A Real-Time Knowledge Based System for the Operation and Control of a Fermentation Plant , 1990, 1990 American Control Conference.

[17]  M. Dohnal,et al.  Fuzzy bioengineering models , 1985, Biotechnology and bioengineering.

[18]  Teruyuki Nagamune,et al.  A database system for fermentation processes , 1987 .

[19]  Ka-Yiu San,et al.  Design and Real Time Implementation of an Intelligent Bioreactor Control Scheme , 1989, 1989 American Control Conference.

[20]  M. Dohnal,et al.  Fuzzy modelling in biotechnology: Sucrose inversion , 1985 .

[21]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..

[22]  Donald A. Waterman,et al.  A Guide to Expert Systems , 1986 .

[23]  Pekka Linko,et al.  An expert system in enzyme production control , 1990 .

[24]  Toshiomi Yoshida,et al.  On-Line Monitoring of Representative Structural Variables in Fed-Batch Cultivation of Recombinant Escherichia coli for Phenylalanine Production , 1990 .

[25]  George Stephanopoulos,et al.  Artificial intelligence in the development and design of biochemical processes , 1986 .

[26]  Karl-Erik Arsen Knowledge-based control systems , 1990, 1990 American Control Conference.

[27]  Toshiomi Yoshida,et al.  Physiologically motivated strategies for control of the fed-batch cultivation of recombinant Escherichia coli for phenylalanine production , 1991 .

[28]  Bernd Hitzmann,et al.  On Experiences with Expert Systems in the Control of Bioreactors , 1989 .

[29]  B. E. Postlethwaite,et al.  A fuzzy state estimator for fed-batch fermentation , 1989 .

[30]  M. B. Beck,et al.  Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..

[31]  Toshiomi Yoshida,et al.  An expert approach for control of fermentation processes as variable structure plants , 1990 .

[32]  P Linko,et al.  Uncertainties, Fuzzy Reasoning, and Expert Systems in Bioengineering , 1988, Annals of the New York Academy of Sciences.