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Expert system for supervision of real time control processes

The general task of an expert system for real time monitoring and supervision consists of evaluating the quality of the current situation of a dynamic system and acting consequently, or proposing an action upon the system to an operator, so that its future behaviour leads to an acceptable situation. The particular functions of such an expert system are reduced to the monitoring and supervision processes. While some software packages allow the monitoring function to be made practical, real time supervision of dynamic systems arises as an attempt to aid the human operator in developing its functions, constituting the main way to guarantee the quality of the system response. Guaranteeing the constraints about the response time of the expert system demands adequate information in an optimal state of processing about the functions of the control system. A generic expert system model to implement the monitoring and supervision functions based on inductive learning techniques, together with a data structure to store information from the expert and the control systems, called evolutionary database for supervision, are presented.