NDLI: Analysis and efficient implementation of fuzzy logic control algorithms

Content Provider	IEEE Xplore Digital Library
Author	Langari, R. Li, W.
Copyright Year	1996
Description	Author affiliation: Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA (Langari, R.; Li, W.)
Abstract	Fuzzy logic is presently used to synthesize single layer nonlinear control systems in an increasing range of application areas. The proper role for fuzzy logic is within the framework of a hierarchically structured control system that may incorporate conventional control strategies. The paper focuses on integration of these notions within an analytically tractable framework whereby certain fundamental system theoretic properties such as stability and robustness to modeling uncertainty can at least in principle be verified. The proposed approach is based on large scale systems theory and incorporates nonlinear singular perturbation in an analytical study of hierarchically structured control systems as well as the notion of Kalman filter based optimal system identification. Theorems regarding the behavior of such systems are presented and their implications are discussed.
Starting Page	1
Ending Page	4
File Size	284282
Page Count	4
File Format	PDF
ISBN	0780332253
DOI	10.1109/NAFIPS.1996.534692
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Control systems Nonlinear control systems Robust stability Control system synthesis Stability analysis Uncertainty Large-scale systems Optimal control System identification
Content Type	Text
Resource Type	Article

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