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FUZZY LOGIC CONTROLLER
M.Rishi vinthiya
m.sc(it)
Fuzzy logic
A form of knowledge
representation suitable for notions
that cannot be defined precisely,
but which depend upon their
context
A way to represent variation or
imprecision in logic
A way to make use of natural
language in logic
Approximate reasoning
Fuzzy logic has been
extended to handle the
concept of partial truth, where
the truth value may range
between completely true and
completely false.
Fuzzy logic provides an
alternative way to represent
linguistic and subjective
FUZZY LOGIC
REPRESENTATION
 For every problem must
represent in terms of fuzzy sets
What is Fuzzy Set?
 A Fuzzy Set is defined in a pair
of some closed interval [0,1].
 It also splits into some sub
intervals called Fuzzy subsets
WHERE IS FUZZY LOGIC USED
 Fuzzy logic is used
directly in very few
applications.
 Most applications of
fuzzy logic use it as the
underlying logic system
for decision support
APPLICATIONS OF FUZZY LOGIC
 Aerospace
Altitude control of spacecraft,
satellite altitude control, flow and
mixture regulation in aircraft deicing
vehicles
 Automotive
Trainable fuzzy systems for idle
speed control, shift scheduling
method for automatic transmission,
intelligent highway systems, traffic
 Business
Decision-making support
systems, personnel evaluation in a
large company
 Financial
Banknote transfer control, fund
management, stock market
predictions
 Electronics
Control of automatic exposure in
video cameras, air conditioning
 Industries
Heat exchanger control,
wastewater treatment process control,
quantitative pattern analysis for
industrial quality assurance, control of
water purification plants
 Transportation
Automatic underground train
operation, train schedule control,
railway acceleration, breaking and
stopping
FUZZY CONTROL
 Fuzzy Control combines the use of fuzzy
linguistic variables with fuzzy logic.
 Example: Speed Control
fuzzy logic—a
mathematical system that
analyzes analog input
values in terms of logical
variables that take on
continuous values between
0 and 1, in contrast to
classical or digital logic,

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Fuzzy logic controller

  • 1. FUZZY LOGIC CONTROLLER M.Rishi vinthiya m.sc(it)
  • 2. Fuzzy logic A form of knowledge representation suitable for notions that cannot be defined precisely, but which depend upon their context A way to represent variation or imprecision in logic A way to make use of natural language in logic Approximate reasoning
  • 3. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Fuzzy logic provides an alternative way to represent linguistic and subjective
  • 4. FUZZY LOGIC REPRESENTATION  For every problem must represent in terms of fuzzy sets What is Fuzzy Set?  A Fuzzy Set is defined in a pair of some closed interval [0,1].  It also splits into some sub intervals called Fuzzy subsets
  • 5. WHERE IS FUZZY LOGIC USED  Fuzzy logic is used directly in very few applications.  Most applications of fuzzy logic use it as the underlying logic system for decision support
  • 6. APPLICATIONS OF FUZZY LOGIC  Aerospace Altitude control of spacecraft, satellite altitude control, flow and mixture regulation in aircraft deicing vehicles  Automotive Trainable fuzzy systems for idle speed control, shift scheduling method for automatic transmission, intelligent highway systems, traffic
  • 7.  Business Decision-making support systems, personnel evaluation in a large company  Financial Banknote transfer control, fund management, stock market predictions  Electronics Control of automatic exposure in video cameras, air conditioning
  • 8.  Industries Heat exchanger control, wastewater treatment process control, quantitative pattern analysis for industrial quality assurance, control of water purification plants  Transportation Automatic underground train operation, train schedule control, railway acceleration, breaking and stopping
  • 9. FUZZY CONTROL  Fuzzy Control combines the use of fuzzy linguistic variables with fuzzy logic.  Example: Speed Control
  • 10. fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic,