Dp 519 en
Using a prior information in fuzzy identification of systems
Author: Jan Vrba
The aim of this work is the use of a priori information in the form of maximum / minimum values of inclination identified nonlinear function to identify the fuzzy system with one input and one output so that the resulting system met the desired constraints. The first two chapters serve as an introduction to the problems of identification of fuzzy systems. In the third chapter are derived conditions for maximum / minimum value of the first derivative of the identified fuzzy system. The fourth chapter tested the proposed identification algorithm which respects the constraints to the maximum/minimum value of the nonlinear function slope.