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.<
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