DocumentCode :
2868665
Title :
Research on Universal Fuzzy Logic Controller
Author :
Lu, Bin
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Hebei
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
1593
Lastpage :
1597
Abstract :
Based on the general structure of fuzzy logic controllers, we soften the operations of fuzzy inferring with a class of universal logic operators, and then present a new type of flexible structured fuzzy logic controller, universal fuzzy logic controller. It can be trained by BP algorithm with adaptive learning rate. That will bring the appropriate control structures according to the different control objects. The simulation result shows that it´s effective
Keywords :
backpropagation; fuzzy control; neurocontrollers; adaptive learning rate; backpropagation algorithm; neural networks; universal fuzzy logic controller; Automation; Computer science; Flexible structures; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Interference; Mechatronics; Programmable control; Proportional control; BP algorithm; fuzzy controller; fuzzy neural networks; universal logics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
Type :
conf
DOI :
10.1109/ICMA.2006.257413
Filename :
4026328
Link To Document :
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