An intelligent control architecture for expert process control

An intelligent control system architecture is proposed that employs multiple knowledge sources including procedural algorithms, rule-based methods, reasoning mechanisms and process knowledge for complex process control. The architecture is based on the blackboard control model which enables expert systems to flexibly select their own control strategies at different levels of abstraction for multitask problem-solving in process control. Control knowledge sources and a control blackboard are included so that the control plan can be modified dynamically according to the state of the process. Expert control systems can improve their behavior dynamically by adapting to an environment with large uncertainty or contingencies.<<ETX>>

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

[2]  Bruce D'Ambrosio,et al.  Real-Time Process Management for Materials Composition in Chemical Manufacturing , 1987, IEEE Expert.

[3]  Barbara Hayes-Roth,et al.  A Blackboard Architecture for Control , 1985, Artif. Intell..

[4]  P. A. Sachs,et al.  Escort — an expert system for complex operations in real time , 1986 .

[5]  H. R. van Nauta Lemke,et al.  Application of a fuzzy controller in a warm water plant , 1976, Autom..

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

[7]  King-Sun Fu,et al.  Learning control systems and intelligent control systems: An intersection of artifical intelligence and automatic control , 1971 .

[8]  H. Penny Nii,et al.  Blackboard Systems, Part One: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures , 1986, AI Mag..

[9]  Barbara Hayes-Roth,et al.  Intelligent Monitoring and Control , 1989, IJCAI.

[10]  Nigel Shadbolt,et al.  Knowledge representation for closed loop control , 1989, IEA/AIE '89.

[11]  H. P Nii,et al.  Blackboard Systems , 1986 .

[12]  Brian P. Butz,et al.  An expert system for control system design , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[13]  Christine M. Mitchell,et al.  OFMspert: inference of operator intentions in supervisory control using a blackboard architecture , 1988, IEEE Trans. Syst. Man Cybern..