DocumentCode
2636677
Title
Recent advances in the application of real-time computational intelligence to industrial electronics
Author
Pukish, Michael S. ; Reiner, Philip ; Wu, Xing
Author_Institution
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
6305
Lastpage
6314
Abstract
The field of computational intelligence [CI] has seen advances in both the theoretical knowledge base of these techniques, and in specific applications of these techniques to real-world problems. This work first attempts to summarize the current trends and definitions in the CI branches of fuzzy systems, artificial neural networks [ANNs], and hybrid neuro-fuzzy systems and their variants. These particular branches of CI are selected for their ability to be implemented in real-time problem solving, whether computation and processing is done in software or implemented in hardware. Then, some current applications of these CI technologies for use in industrial electronics are highlighted and summarized.
Keywords
fuzzy control; fuzzy neural nets; industrial control; neurocontrollers; ANN; artificial neural network; hybrid neuro-fuzzy system; industrial electronics; real-time computational intelligence; real-time problem solving; Artificial intelligence; Artificial neural networks; Noise; Robots; Software; Switches; Torque; Mamdani; TSK; artificial neural networks; computational intelligence; control systems; fuzzy systems; neuro-fuzzy systems;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6389018
Filename
6389018
Link To Document