Phoneme discrimination using a pair of neurons built from CRS fuzzy logic gates

The control logic of the modern Full Authority Digital Engine Control (FADEC) is comprised of many control loops, each of which has a specific purpose. Typical control loops include (but are not limited to) a high or low rotor speed governor, an Acceleration and Deceleration loop, and various limiting loops for temperature, speed, fuel flow, and rate of change of fuel flow. The logic that determines which of these loops is “in control” at any particular time has a history of being very simplistic. This Selection Logic is usually nothing more that a cascade of minimum and maximum selection logic gates. Since this logic is so simplistic, the control engineer often has to “fine tune” the compensator design for each loop, in order to achieve proper performance. The purpose of this paper is to a present a means of achieving a selection logic design based on Fuzzy Logic principles. Hereafter, this shall be referred to as a Fuzzy Fuel Flow Selector. The paper provides a brief overview of the most typical architecture for real time embedded FADEC control logic, rule development for the Fuzzy Fuel Flow Selector, and a realistic implementation of the Fuzzy Fuel Flow Selector. Also provided is a typical application that is used to contrast the performance between traditional selection logic and the Fuzzy Fuel Flow Selector. An overview of the Fuzzy Logic process is also included for completeness.

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Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

PsycEXTRA Dataset ◽

10.1037/e502412013-438 ◽

2012 ◽

Author(s):

Thomas M. Crawford ◽

Justin Fine ◽

Donald Homa

Keyword(s):

Fuzzy Logic

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Quotation of upper limb risk musculoskeletal disorders by fuzzy logic: Particular case of manual wheelchair propulsion and curb ascent

Movement & Sport Sciences - Science & Motricité ◽

10.1051/sm/2015037 ◽

2016 ◽

pp. 33-40

Author(s):

Claire Marchiori ◽

Didier Pradon ◽

Dany Gagnon ◽

Djamel Bensmail

Keyword(s):

Fuzzy Logic ◽

Musculoskeletal Disorders ◽

Upper Limb ◽

Wheelchair Propulsion ◽

Manual Wheelchair

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Continuous Estimation of CO2 Production during Exercise

Methods of Information in Medicine ◽

10.1055/s-0038-1636856 ◽

1997 ◽

Vol 36 (04/05) ◽

pp. 368-371

Author(s):

R. Soma ◽

Y. Yamamoto

Keyword(s):

Fuzzy Logic ◽

Steady State ◽

Infusion Rate ◽

Feedback System ◽

Whole Body ◽

Co2 Production ◽

Cycle Exercise ◽

Continuous Estimation ◽

Breath Measurement ◽

13Co2 Enrichment

Abstract.A new method was developed for continuous isotopic estimation of human whole body CO2 rate of appearance (Ra) during non-steady state exercise. The technique consisted of a breath-by-breath measurement of 13CO2 enrichment (E) and a real-time fuzzy logic feedback system which controlled NaH13CO3 infusion rate to achieve an isotopic steady state. Ra was estimated from the isotope infusion rate and body 13CO2 enrichment which was equal to E at the isotopic steady state. During a non-steady state incremental cycle exercise (5 w/min or 10 w/min), NaH13CO3 infusion rate was successfully increased by the action of feedback controller so as to keep E constant.

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Modified fuzzy-based greedy routing protocol for VANETs

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189154 ◽

2020 ◽

Vol 39 (6) ◽

pp. 8357-8364

Author(s):

Thompson Stephan ◽

Ananthnarayan Rajappa ◽

K.S. Sendhil Kumar ◽

Shivang Gupta ◽

Achyut Shankar ◽

...

Keyword(s):

Fuzzy Logic ◽

Routing Protocol ◽

Intelligent Transportation Systems ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Research Area ◽

Transportation Systems ◽

Delivery Ratio ◽

Greedy Routing ◽

Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

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Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

Al-Kitab Journal for Pure Sciences ◽

10.32441/kjps.v2i1.138 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Raid Daoud ◽

Yaareb Al-Khashab

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Input Parameter ◽

Traffic Density ◽

The Internet ◽

Linguistic Variables ◽

Internet Service ◽

Traffic Distribution ◽

Smart Control ◽

High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

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