Combined qualitative quantitative simulation models of continuous-time processes using fuzzy inductive reasoning techniques

被引:30
作者
Cellier, FE
Nebot, A
Mugica, F
DeAlbornoz, A
机构
[1] UNIV POLITECN CATALUNYA,INST CIBERNET,E-08028 BARCELONA,SPAIN
[2] UNIV POLITECN CATALUNYA,DEPT ESAII,E-08028 BARCELONA,SPAIN
关键词
modeling; simulation; mixed quantitative and qualitative models; inductive reasoning; forecasting theory; fuzzy systems; learning systems; artificial intelligence;
D O I
10.1080/03081079608945108
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A new mixed quantitative and qualitative simulation methodology based on fuzzy inductive reasoning is presented. The feasibility of this methodology is demonstrated by means of a simple hydraulic control system The mechanical and electrical parts of the control system are modeled using differential equations, whereas the hydraulic part is modeled using fuzzy inductive reasoning. The technique is described in detail in the first part of this paper. The example is shown in the second part of the paper. The mixed quantitative and qualitative model is simulated in ACSL, and the simulation results are compared with those obtained from a fully quantitative model. The example was chosen as a simple to describe, yet numerically demanding process whose sole purpose is to prove the concept. Several practical applications of this mixed modeling technique are mentioned in the paper, but their realization has not yet been completed.
引用
收藏
页码:95 / 116
页数:22
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