NDLI: Structure identification of fuzzy controllers in real time

Content Provider	IEEE Xplore Digital Library
Author	Pomares, H. Rojas, I. Gonzalez, J.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Archit. & Comput. Technol., Campus Universitario Fuentenueva, Granada, Spain (Pomares, H.; Rojas, I.; Gonzalez, J.)
Abstract	This paper presents an innovative approach to self-adaptation of the structure of a fuzzy controller in real time. Without any off-line pretraining, the algorithm achieves very high control performance through the iteration of a three-stage algorithm. In the first stage, coarse tuning of the fuzzy rules (both rule consequents and membership functions of the premises) is accomplished using the sign of the dependency of the plant output with respect to the control signal and an overall analysis of the main operating regions. In stage two, fine tuning of the fuzzy rules is achieved based on the controller output error using a gradient-based method. Finally, the third stage is responsible of modifying the structure of the fuzzy controller, proposing that input variable which should get a new membership function in order to improve the control policy in an optimum way.
Sponsorship	IEEE IEEE Neural Networks Soc
Starting Page	396
Ending Page	401
File Size	420101
Page Count	6
File Format	PDF
ISBN	0780372808
DOI	10.1109/FUZZ.2002.1005023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Automatic control Error correction Control systems Fuzzy systems Differential equations Programmable control Adaptive control Adaptive systems Computer architecture
Content Type	Text
Resource Type	Article

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