Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,398,464 papers from all fields of science
Search
Sign In
Create Free Account
Fuzzy control system
Known as:
Defuzzifier
, Fuzzy control
, Fuzzy system
Expand
A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
27 relations
AI winter
Action selection
Analog signal
Charge-coupled device
Expand
Broader (2)
Control engineering
Fuzzy logic
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Takagi-Sugeno fuzzy logic controller for Liu-Chen four-scroll chaotic system
S. Vaidyanathan
,
A. Azar
International Journal of Intelligent Engineering…
2016
Corpus ID: 33053639
Chaos modelling, chaos control and chaos synchronisation are active areas in chaos theory, while research in these areas has…
Expand
Highly Cited
2013
Highly Cited
2013
Stable indirect adaptive switching control for fuzzy dynamical systems based on T–S multiple models
N. Sofianos
,
Y. Boutalis
International Journal of Systems Science
2013
Corpus ID: 2723921
A new indirect adaptive switching fuzzy control method for fuzzy dynamical systems, based on Takagi–Sugeno (T–S) multiple models…
Expand
Highly Cited
2012
Highly Cited
2012
On ${\cal H}_{\infty }$ Filtering for Discrete-Time Takagi–Sugeno Fuzzy Systems
Hui Zhang
,
Yang Shi
,
A. S. Mehr
IEEE transactions on fuzzy systems
2012
Corpus ID: 25435437
In this paper, we present a new design method for the H∞ filtering of discrete-time Takagi-Sugeno (TS) fuzzy systems. The…
Expand
Highly Cited
2008
Highly Cited
2008
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system
E. Araujo
,
L. Coelho
Applied Soft Computing
2008
Corpus ID: 15179593
Highly Cited
2003
Highly Cited
2003
Fuzzy gain scheduling: controller and observer design based on Lyapunov method and convex optimization
P. Korba
,
Robert Babuška
,
H. Verbruggen
,
P. Frank
IEEE transactions on fuzzy systems
2003
Corpus ID: 16960877
Addresses model-based fuzzy control. A constructive and automated method for the design of a gain-scheduling controller is…
Expand
Highly Cited
2000
Highly Cited
2000
The development of intelligent decision support tools to aid the design of flexible manufacturing systems
F. Chan
,
B. Jiang
,
N. Tang
2000
Corpus ID: 32994007
Highly Cited
1995
Highly Cited
1995
Theoretical aspects of fuzzy control
H. Nguyen
,
M. Sugeno
,
R. Tong
,
R. Yager
1995
Corpus ID: 118746760
Partial table of contents: Identification of Linguistic Fuzzy Models (R. Yager & D. Filev) System Stability and the Fuzzy…
Expand
Highly Cited
1994
Highly Cited
1994
Design of intelligent fuzzy logic controllers using genetic algorithms
W. Hwang
,
W. Thompson
Proceedings of IEEE 3rd International Fuzzy…
1994
Corpus ID: 62626107
The paper presents a methodology for combining genetic algorithms and fuzzy algorithms for learning the optimal rules for a FAM…
Expand
Highly Cited
1993
Highly Cited
1993
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
D. Nauck
,
R. Kruse
IEEE International Conference on Neural Networks
1993
Corpus ID: 58070646
A kind of neural network architecture designed for control tasks is presented. It is called the fuzzy neural network. The…
Expand
Highly Cited
1984
Highly Cited
1984
Application of circle criteria for stability analysis of linear SISO and MIMO systems associated with fuzzy logic controller
K. Ray
,
D. Majumder
IEEE Transactions on Systems, Man and Cybernetics
1984
Corpus ID: 8435783
The concept of the sector bound nonlinearity has been considered for frequency domain stability analysis of linear single-input…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE