プロセスダイナミクスの知識ベース型モデリング
石岡 卓也, 竹垣 盛一, 大井 忠
pp. 1-9
DOI:
10.5687/iscie.2.1抄録
To synthesize dynamics with nonlinearities or distributed parameter structures in a simple manner for process controlling and diagnosis, we propose a knowledge-based modelling method. In this method, the structures of the process and the internal relations between the states are presented in a petri-net like data structure and the relations between the states are described with rules of mathematical procedure and linguistic logics (production rules or fuzzy inference rules).
To illustrate this method, a model of a once-through type evaporator is presented. Complex characteristics can be described mainly with simple conservation laws.