Title :
Modeling of dynamic systems using fuzzy logic
Author :
Wang, Hui ; Sun, Jing
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Abstract :
An algorithm for modeling a dynamic system using fuzzy logic is developed in this paper. By properly partitioning the input-output spaces into fuzzy spaces, we use a machine learning algorithm to generate an initial fuzzy rule base. Finally, we adjust membership functions to minimize the output error between the model and the physical system. Simulation results are also given to demonstrate the proposed approach
Keywords :
fuzzy control; input-output stability; learning (artificial intelligence); dynamic system modelling; fuzzy logic; fuzzy spaces; initial fuzzy rule base; input-output partitioning; machine learning algorithm; membership functions; output error; Analytical models; Control system synthesis; Fuzzy logic; Fuzzy systems; Logic design; Machine learning algorithms; Mathematical model; Modeling; Partitioning algorithms; Sun;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343009
