Intelligent Control for Cell Culture Processes

An Integrated Intelligent System is being developed for cell culture process control, which consists of several symbolic reasoning systems and numerical computation packages. These software programs are written in different languages and can be used independently. They are under the control of a supervisory expert system, namely, the Meta-System. The key issue to construct the Integrated Intelligent System is to organize the Meta-System. The Meta-System manages the selection, operation and communication of these programs. This new system can diagnose measurement and actuator failures, abnormal process conditions, and select and activate the most suitable control technique for the particular process conditions. It can also serve as a universal configuration to develop high-performance intelligent systems for many complicated engineering applications.

[1]  G.A. Montague,et al.  Considerations in control scheme development for fermentation process control , 1988, IEEE Control Systems Magazine.

[2]  M. Rao,et al.  Integrated architecture for intelligent control , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

[3]  J.H. Taylor,et al.  An expert system architecture for computer-aided control engineering , 1984, Proceedings of the IEEE.

[4]  Gary Lamont,et al.  The role of artificial intelligence in computer-aided design of control systems , 1987, 26th IEEE Conference on Decision and Control.

[5]  Jeffrey J. P. Tsai,et al.  IDSCA: An intelligent direction selector for the controller's action in multiloop control systems , 1988, Int. J. Intell. Syst..

[6]  Jeffrey J. P. Tsai,et al.  An intelligent decisionmaker for optimal control , 1988, Appl. Artif. Intell..

[7]  Paul R. Cohen,et al.  Dominic II: Meta-Level Control in Iterative Redesign , 1988, AAAI.

[8]  Charles L. Forgy,et al.  Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem , 1982, Artif. Intell..

[9]  Milton W. Green,et al.  An Expert System for Real-Time Control , 1986, IEEE Software.

[10]  Lowell B. Hawkinson,et al.  A Real-Time Expert System for Process Control , 1986 .

[11]  H. K. Eldeib,et al.  Applications of symbolic manipulation in control system analysis and design , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

[12]  Bertrand Zavidovique,et al.  Behavior Rule Systems for Distributed Process Control , 1985, Conference on Artificial Intelligence Applications.

[13]  G. Blankenship,et al.  Computer Algebra for Analysis and Design of Nonlinear Control Systems , 1987, 1987 American Control Conference.

[14]  John R. James,et al.  A Survey of Knowledge-Based Systems for Computer-Aided Control System Design , 1987, 1987 American Control Conference.

[15]  Piero P. Bonissone,et al.  A Retrospective View of CACE-III: Considerations in Coordinating Symbolic and Numeric Computation in a Rule-Based Expert System , 1985, CAIA.

[16]  Thomas F. Edgar,et al.  Adaptive control strategies for process control: A survey , 1986 .

[17]  Karl-Erik Årzén,et al.  Expert control , 1986, at - Automatisierungstechnik.