Journal ArticleDOI
A VLSI implementation of a fuzzy-inference engine: toward a expert system on a chip
Masaki Togai,Hiroyuki Watanabe +1 more
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TLDR
In this paper, the authors present a VLSI implementation of an inference mechanism to cope with uncertainty and to perform approximate reasoning, which is based on the max-min operation of fuzzy set theory for effective and real-time use.About:
This article is published in Information Sciences.The article was published on 1986-04-01. It has received 108 citations till now. The article focuses on the topics: Adaptive neuro fuzzy inference system & Inference engine.read more
Citations
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Journal ArticleDOI
Real-time knowledge-based systems
TL;DR: This article examines how the real-time problem domain is significantly different from those domains which have traditionally been solved by expert systems and proposes a set of requirements that a real- time knowledge-based system must satisfy.
Journal ArticleDOI
A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control
TL;DR: In this tutorial, the utility of a fuzzy system is demonstrated by providing a broad overview, emphasizing analog mode hardware, along with a discussion of the author's original work.
Journal ArticleDOI
Stablization of an inverted pendulum by a high-speed fuzzy logic controller hardware system
TL;DR: A high-speed fuzzy controller hardware system employing Min-Max operations is presented and can be applied to attitude control of a space booster rocket and satellite, an automatic aircraft landing system, pattern recognition, stabilization of nuclear fuel rods in a reactor, an intelligent sensor, and many other applications which need swift approximate reasoning.
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FPGA Implementation of Embedded Fuzzy Controllers for Robotic Applications
TL;DR: The design methodology and tool chain presented in this paper have been applied to the realization of a control system for solving the navigation tasks of an autonomous vehicle.
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Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks
James M. Keller,Hossein Tahani +1 more
TL;DR: The sensitivity of the output to noisy input distributions and the ability of the networks to internalize multiple conjunctive clause and disjunctive clause rules are demonstrated.
References
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Journal ArticleDOI
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Journal ArticleDOI
The role of fuzzy logic in the management of uncertainty in expert systems
TL;DR: F fuzzy logic is suggested, which is the logic underlying approximate or, equivalently, fuzzy reasoning, which leads to various basic syllogisms which may be used as rules of combination of evidence in expert systems.
Book
A Practical Guide to Designing Expert Systems
TL;DR: This book offers a practical introduction to expert systems and is designed not only for computer programmers but for all those who want to know how expert systems are structured and what they can do.
Proceedings ArticleDOI
A fuzzy logic controller for aircraft flight control
TL;DR: This paper describes a model of an autopilot controller based on fuzzy algorithms that maneuvers an aircraft from level flight into a final-approach flight path and maintains the aircraft along the glide path until just before touchdown.