Z. Vlček (Czech Republic)
Fuzzy modelling, Dynamic system identification
The combination of fuzzy logic and neural networks are one of the techniques that are recently being used for mod elling nonlinear system. Most of real-word systems have dynamic features thus a dynamic fuzzy system with rules in the general forms have to be used. The properties of this nonlinear system have to be checked. Hence the algorithms for analysis of the dynamic fuzzy system were developed and implemented. These algorithms find the possible out puts, stationary states and their stability. The reachability of output values is discussed.
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