Combined Qualitative/Quantitative Simulation Models
of Continuous-Time Processes Using Fuzzy Inductive Reasoning Techniques
Keywords
- Modeling
- Simulation
- Mixed Quantitative and Qualitative Models
- Inductive Reasoning
- Forecasting Theory
- Fuzzy Systems
- Learning Systems
- Artificial Intelligence
Abstract
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.
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Last modified: December 13, 2011 -- © François Cellier