Title :
Fuzzy modelling of dynamic systems
Author :
Ghalia, M. Ben ; Alouani, A.T.
Author_Institution :
Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
This paper deals with fuzzy modelling of complex dynamic systems. Fuzzy relational equations are used to describe dynamic systems´ behavior. A prediction algorithm is proposed and the procedure to update the fuzzy relation of the model as new measurements are collected is discussed. The algorithm is applied to the prediction of chaotic time-series
Keywords :
chaos; fuzzy set theory; identification; large-scale systems; time series; chaotic time-series prediction; complex dynamic systems; fuzzy modelling; prediction algorithm; relational equations; Chaos; Control system synthesis; Equations; Fuzzy control; Fuzzy sets; Fuzzy systems; Prediction algorithms; Predictive models; Pulp manufacturing; Virtual manufacturing;
Conference_Titel :
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-8186-5320-5
DOI :
10.1109/SSST.1994.287890
