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Fuzzy control system
Known as:
Defuzzifier
, Fuzzy control
, Fuzzy system
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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…
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Related topics
Related topics
27 relations
AI winter
Action selection
Analog signal
Charge-coupled device
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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…
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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…
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Highly Cited
2010
Highly Cited
2010
Adaptive Neuro-Fuzzy Systems
A. Taher
2010
Corpus ID: 15608143
One benefit of fuzzy systems (Zadeh, 1965; Ruspini et al., 1998; Cox, 1994) is that the rule base can be created from expert…
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Highly Cited
2009
Highly Cited
2009
Human Perception-Based Color Image Segmentation Using Comprehensive Learning Particle Swarm Optimization
Parag Puranik
,
P. Bajaj
,
A. Abraham
,
Prasanna Palsodkar
,
A. Deshmukh
Second International Conference on Emerging…
2009
Corpus ID: 12988703
In computer vision, image processing is any form of signal processing for which the input is an image, such as photographs or…
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Highly Cited
2003
Highly Cited
2003
Static output-feedback fuzzy controller for Chen's chaotic system with uncertainties
Wook Chang
,
Jin Bae Park
,
Y. Joo
,
Guanrong Chen
Information Sciences
2003
Corpus ID: 32921997
Highly Cited
1996
Highly Cited
1996
DESIGNING NEURO-FUZZY SYSTEMS THROUGH BACKPROPAGATION
D. Nauck
,
R. Kruse
1996
Corpus ID: 61281186
The goal of neuro-fuzzy combinations is to obtain adaptive systems that can use prior knowledge, and can be interpreted by means…
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Review
1995
Review
1995
A performance analysis of pulse stream neural and fuzzy computing systems
L. Reyneri
1995
Corpus ID: 12592703
This paper presents an annotated overview of existing hardware implementations of artificial neural systems based on "pulse…
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Highly Cited
1994
Highly Cited
1994
Fuzzy neural control of voice cells in ATM networks
T. Ndousse
IEEE J. Sel. Areas Commun.
1994
Corpus ID: 206444565
This paper presents the design of a fuzzy controller for managing cells generated by voice sources in asynchronous transfer mode…
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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…
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Highly Cited
1990
Highly Cited
1990
A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems
H. Berenji
,
Yung-Yaw Chen
,
Chuen-Chien Lee
,
J. Jang
,
S. Murugesan
Conference on Uncertainty in Artificial…
1990
Corpus ID: 15599923
This paper presents a new technique for the design of approximate reasoning based controllers for dynamic physical systems with…
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