The Complementary Roles of Expert Systems and Optimization Tools in Dynamic System Identification
This paper describes a new approach of knowledge-based systems. There are three main phases: (1) an ‘intelligent’ diagnosis of the step response provides a starting set of parameters, (2) heuristic optimization improves those parameters and (3) the model is validated.
The starting set of parameters are provided by the IDGRA expert system in the usual plant form: G(s) = exp(-Tau.$) Nu(s)/De(s). The delay and lowest order of D(s) may be found from any of thirty models. The optimization phase uses a hierarchical method interfaced with the PC-Matlab identification toolbox. The optimum model is validated by an expert system solver. Examples are included.
KeywordsComputer-Aided Dynamic System Design (CADSD) identification logic programming Prolog Knowledge-Based System (KBS) expert system solver intelligent front-end
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