Data-based fuzzy modelling of dynamic systems by means of evolution strategies
Marian B. Gorzałczany, Adam Gluszek · Pomiary Automatyka Kontrola · 2010
The paper presents a hybrid approach (combining fuzzy rule-based systems and evolution strategies) to modelling of complex dynamic systems and processes using data that describe their behaviour. The application of the proposed approach to modelling and prediction of the Mackey-Glass chaotic time series is also presented in the paper. This time series - of complex dynamics - describes various physiological and technical control systems.