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## FUZZY LOGIC IN EMBEDDED SYSTEMS full reportPosted by: computer science topics Created at: Wednesday 09th of June 2010 03:17:38 AM Last Edited Or Replied at :Wednesday 09th of June 2010 03:17:38 AM | embedded system design by frank vahid ,
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ed voltages drops through a MOST-only grounded linear resistor. Figure 2 c) shows some measured
curves. Note that we could easily get Nâ€°Ë†9.5 whereas the input range of Vin reaches to
3V. 2.2. Multiple-input MAX operator The Winner-Take-All circuit presented in was adopted for the MAX operator, but some modifications were introduced. The circuit depicted in figure 3 a) is composed by q current controlled voltage sources (M1, M2, M3, M4 and M5) connected to a common node Vc and fighting to impose their own voltage, which is pro.................. [:=> Show Contents <=:] | |||

## fuzzy based washing machinePosted by: nagamani_pinky Created at: Sunday 07th of February 2010 07:50:50 AM Last Edited Or Replied at :Monday 08th of February 2010 09:08:24 AM | fuzzy based clustering powerpoint ,
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i wa..................[:=> Show Contents <=:] | |||

## Fuzzy based Washing MachinePosted by: Computer Science Clay Created at: Saturday 28th of February 2009 10:54:37 PM Last Edited Or Replied at :Saturday 28th of February 2009 10:54:37 PM | washing machine energy use,
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stat controlling a heater fan illustrated in fig.1.The room temperature detected through a sensor is
input to a controller which outputs a control force to adjust the heater fan speed. A conventional thermostat works like an ON/OFF switch. If we set it at 78F then the heater is activated only when the temperature falls below 75F.When it reaches 81F the heater is turned off .As a result the desired room temperature is either too warm or too hot. A fuzzy thermostat works in shades of gray where the temperature is treated as a series of overlapping ranges .For example, 78F is 60% warm and 2.................. [:=> Show Contents <=:] | |||

## NEURO FUZZY LOGICPosted by: seminar projects crazy Created at: Friday 30th of January 2009 12:18:04 PM Last Edited Or Replied at :Friday 03rd of February 2012 01:05:58 AM | fuzzy logic co2 ,
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al-network techniques to generate the rules. Here arise adaptive fuzzy systems...................[:=> Show Contents <=:] | |||

## Fuzzy based Washing MachinePosted by: computer science crazy Created at: Sunday 21st of September 2008 01:03:05 AM Last Edited Or Replied at :Sunday 21st of September 2008 01:03:05 AM | Machine ,
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ompensate for parameter variations in the plant as well as to adapt to changes in the environment.
The need to overcome such problems and to have a controller well-tuned not just for one operating
point for a whole range of operating points has motivated the idea of an adaptive controller. In order to illustrate some basic concepts in fuzzy logic consider a simplified example of a thermostat controlling a heater fan illustrated in fig.1.The room temperature detected through a sensor is input to a controller which outputs a control force to adjust the heater fan speed. A conventional ther.................. [:=> Show Contents <=:] | |||

## Modern Irrigation System Towards FuzzyPosted by: computer science crazy Created at: Sunday 21st of September 2008 12:50:29 AM Last Edited Or Replied at :Thursday 22nd of October 2009 03:52:59 AM | Fuzzy ,
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ptive use or monthly consumptive use are determined for a given crop and at a given place. It also
varies from crop to crop. There are several elimatological factors, which will influence and decide
the rate of evaporation. Some of the important factors of elimate influencing the evaporation are
radiation, temperature, humidity and wind speed. In this work, the input variables chosen for the
system are evapotranspiration and rate of change of evapotranspiration called as error and the
output variable is water amount. FUZZIFICATION UNIT It converts a crisp process state into a fuzzy state s.................. [:=> Show Contents <=:] | |||

## Fuzzy LogicPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:49:29 PM Last Edited Or Replied at :Saturday 20th of September 2008 11:49:29 PM | Logic ,
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ature is too cold: you will make the water comfortable very quickly with little trouble. FL is
capable of mimicking this type of behavior but at very high rate. How does Fl work? FL requires some numerical parameters in order to operate such as what is considered significant error and significant rate-of-change-of-error, but exact values of these numbers are usually not critical unless very responsive performance is required in which case empirical tuning would determine them. For example, a simple temperature control system could use a single temperature feedback sensor whose data is su.................. [:=> Show Contents <=:] | |||

## PH Control Technique using Fuzzy LogicPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:46:46 PM Last Edited Or Replied at :Thursday 15th of March 2012 11:53:31 PM | Logic ,
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e objective of using fuzzy control is to provide a user-friendly formalism for representing and
implementing the ideas we have about how to achieve high performance control. Apart from being a
heavily used technology these days, fuzzy logic control is simple, effective and efficient. In this
paper, the structure, working and design of a fuzzy controller is discussed in detail through an
in-depth analysis of the development and functioning of a fuzzy logic pH controller. PH Control To illustrate the application of fuzzy logic, the remaining section of the paper is directed towards the de.................. [:=> Show Contents <=:] |

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