Title :
Constructing rule-bases by self-learning in fuzzy control systems
Author :
Armensky, E.V. ; Neroda, V.Y.
Author_Institution :
Dept. of Inf. & Syst. for Autom. of Eng., Tech. Univ. Moscow, Russia
Abstract :
A methodology for constructing a rule-base from learned data and a modified tuning algorithm with fuzzy least squares method are described
Keywords :
control system synthesis; fuzzy control; fuzzy systems; intelligent control; iterative methods; least mean squares methods; unsupervised learning; control rules; fuzzy control systems; fuzzy least squares method; iterative learning control scheme; learning algorithm; modified tuning algorithm; references model; rule-bases construction; self-learning; Adaptive control; Automatic control; Automation; Control systems; Error correction; Expert systems; Fuzzy control; Least squares methods; Mathematics; Process control;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507549
