Speed control design for a vehicle system using fuzzy logic
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PRESENTED BY
CH.VASU BABU

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SPEED CONTROL DESIGN FOR A VEHICLE SYSTEM USING FUZZY LOGIC
Introduction

 The idea behind fuzzy logic dates back to Plato, who recognized not only the logic system of true and false, but also an undetermined area – the uncertain.
 In the 1960’s Lotfi A. Zadeh Ph.D,. University of California, Berkeley, published an obscure paper on fuzzy sets . His unconventional theory allowed for approximate information and uncertainty when generating complex solutions; a process that previously did not exist.
 Fuzzy Logic has been around since the mid 60’s but was not readily excepted until the 80’s and 90’s. Although now prevalent throughout much of the world, China, Japan and Korea were the early adopters
Definition of fuzzy logic
Fuzzy logic provides a method to formalize reasoning when dealing with vague terms. Traditional computing requires finite precision which is not always possible in real world scenarios. Not every decision is either true or false, or as with Boolean logic either 0 or 1. Fuzzy logic allows for membership functions, or degrees of truthfulness and falsehoods. Or as with Boolean logic, not only 0 and 1 but all the numbers that fall in between.
• How is Fuzzy Logic Used?
Fuzzy Mathematics
 Fuzzy Numbers – almost 5, or more than 50
 Fuzzy Geometry – Almost Straight Lines
 Fuzzy Algebra – Not quite a parabola
 Fuzzy Calculus
 Fuzzy Graphs – based on fuzzy points
Advantages
Disadvantages
Future scope

Advances in technology today are occurring at an amazing rate. The speed and complexity of application production would not be possible without systems like fuzzy logic. Lotfi A. Zadeh’s introduction of fuzzy logic generated the ability for companies, who choose to employ it, a competitive edge. They now have the ability to significantly reduce engineering development time in addition to producing extremely complex systems that would not be possible by employing previous methods.
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RE: Speed control design for a vehicle system using fuzzy logic - by seminar class - 05-03-2011, 03:10 PM

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