A reliable expert system for process control system design

An adaptive feedback testing system (AFTS) is presented which includes self-testing and self-modifying functions, in order to enhance the reliability of knowledge-based computer-aided-design software programs. A rule-based expert solver operating in an uncertain environment can select a plausible solver that results in an error-prone solution. The automatic test system evaluates the candidate solver so that the correct decision is made. Using IDSCA, an expert system built by the authors, to direct the controller's action in a multiloop control system, the function of the AFTS is demonstrated.<
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