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