DocumentCode
3392834
Title
An adaptive fuzzy logic controller with self-tuning scaling factors based on neural networks
Author
Deng, Huiwen ; Wang, Yi
Author_Institution
Sch. of Comput. & Inf. Sci., Southwest Normal Univ., Chongqing, China
fYear
2005
fDate
4-8 April 2005
Firstpage
392
Lastpage
396
Abstract
Scaling factors tuning is one of the most used method to enhance the performance of a fuzzy logic controller (FLC). In this paper, we bring forward an adaptive FLC with self adjusting scaling factors (SFs) using neural networks (NNs). Definitions of SFs and their effects on the overall performance of an FLC are analyzed. Detailed control scheme, learning mechanism for the NNs and simulation results for typical second-order linear and nonlinear systems are showed.
Keywords
adaptive control; fuzzy control; learning systems; linear systems; neurocontrollers; nonlinear control systems; self-adjusting systems; adaptive fuzzy logic controller; neural network; nonlinear system; second-order linear system; self-tuning scaling factor; Adaptive control; Computer networks; Fuzzy logic; Fuzzy sets; Inference mechanisms; Information science; Neural networks; Performance analysis; Programmable control; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Decentralized Systems, 2005. ISADS 2005. Proceedings
Print_ISBN
0-7803-8963-8
Type
conf
DOI
10.1109/ISADS.2005.1452096
Filename
1452096
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