Simulation Modeling of Fuzzy Systems for Model Contiuity

First Author et al. 1 Embedded software engineers have often relied on the use of modeling and simulation techniques in order to make software development tasks manageable. However, they often embed external components in simulation models, which may cause model continuity problems. That is, such models and their simulation artifacts could be abandoned during the design phase since the models may not work properly on target platforms or be transformed into other forms of models or languages. In this paper, we first propose an approach to formally model Takagi-Sugeno-Kang fuzzy systems without the use of any external components. In order to keep the model continuity, the formal simulation model for a TSK fuzzy system is comprised of three types of reusable sub-models involving primitive operations. Thus, the model can be executed even on a limited computational platform. We next describe our implementation of simulation models for fuzzy systems including two other inference models, and of a visual modeling tool for the fuzzy systems.