Title :
A rule self-generating approach for fuzzy control
Author :
Chen, Minyou ; Linkens, D.A.
Author_Institution :
Sheffield Univ., UK
Abstract :
An adaptive fuzzy control algorithm and corresponding rule generating approach are presented. According to this paradigm, the fuzzy control rules can be generated automatically from the input data, and then the appropriate control actions can be deduced efficiently by a simplified fuzzy inference engine. Compared to traditional self-organising fuzzy controllers, this method has less computational burden and faster reasoning speed
Keywords :
adaptive control; decision theory; fuzzy control; fuzzy logic; inference mechanisms; self-adjusting systems; adaptive fuzzy control; computational burden; control actions; reasoning speed; rule self-generating approach; simplified fuzzy inference engine; Adaptive control; Automatic control; Automatic generation control; Error correction; Fuzzy control; Fuzzy sets; PD control; Programmable control; Quantization; Systems engineering and theory;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574267
