Journal ArticleDOI
Towards a paradigm for fuzzy logic control
Frank L. Lewis,Kai Liu +1 more
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TLDR
The purpose of this paper is to lay a foundation for fuzzy logic control (FLC) design, constructing a class of fuzzy logic controllers that is suitable for a broad range of controls applications, including vector fuzzy number and membership vector.About:
This article is published in Automatica.The article was published on 1996-02-01. It has received 70 citations till now. The article focuses on the topics: Fuzzy number & Fuzzy logic.read more
Citations
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Journal ArticleDOI
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
Journal ArticleDOI
Survey paper: A survey on industrial applications of fuzzy control
TL;DR: A survey on recent developments of analysis and design of fuzzy control systems focused on industrial applications reported after 2000 is presented.
Journal ArticleDOI
A systematic study of fuzzy PID controllers-function-based evaluation approach
TL;DR: It is concluded that direct-action controllers exhibit simpler design properties than gain-scheduling controllers, and the Zadeh-Mamdani's "max-min- gravity" scheme produces the highest score in terms of nonlinearity variations, which is superior to other schemes, such as Mizumoto's "product-sum-gravity" and "Takagi-Sugeno-Kang" schemes.
Journal ArticleDOI
Deadzone compensation in motion control systems using adaptive fuzzy logic control
TL;DR: The adaptive FL deadzone compensator is implemented on an actual industrial CNC machine tool to show its efficacy, and formal nonlinear stability proofs are given to show that the tracking error is small.
Journal ArticleDOI
Robust adaptive control using a universal approximator for SISO nonlinear systems
TL;DR: The proposed controller utilizes the robust adaptive control to guarantee uniform boundedness and convergence of tracking errors and an adaptive fuzzy logic system is used as a universal approximator to reduce the model uncertainties coming from uncertain nonlinearities and to improve tracking performance.
References
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Book
Applied Nonlinear Control
TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Book
The Fourier Transform and Its Applications
TL;DR: In this paper, the authors provide a broad overview of Fourier Transform and its relation with the FFT and the Hartley Transform, as well as the Laplace Transform and the Laplacian Transform.
Journal Article
Fuzzy logic in control systems : fuzzy logic controller. Part II
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
Journal ArticleDOI
The Fourier Transform and its Applications.
T. K. Boehme,Ronald N. Bracewell +1 more
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