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
The feasibility of mixed quantitative and qualitative simulation 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 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: January 18, 2006 -- © François Cellier