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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2868665