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Fuzzy Control Systems |
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Fuzzy Control Systems
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Objectives: |
- This course explains what the fuzzy controller is and how efficient it can perform in a comparison with the conventional controllers where the latter has been demonstrated to be very successful in applications in the past.
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Contents: |
- Conventional Control System Design:
- - Introduction
- - Mathematical Modeling
- - Performance Objectives and Design Constraints
- - Controller Design
- - Performance Evaluation
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- General Fuzzy Systems:
- - Linguistic Variables, Values, and Rules
- - Fuzzy Sets, Fuzzy Logic, and the Rule-Base
- - Fuzzification
- - The Inference Mechanism
- - Defuzzfication
- - Mathematical Representations of Fuzzy Systems
- - Takagi-Sugeno Fuzzy Systems
- - Fuzzy Systems Are Universal Approximators
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- Fuzzy Control system:
- - A Tutorial Introduction
- - Choosing Fuzzy Controller Inputs and Outputs
- - Putting Control Knowledge into Rule-Bases
- - Fuzzy Quantification of Knowledge
- - Matching: Determining Which Rules to Use
- - Inference Step: Determining Conclusions
- - Converting Decisions into Actions
- - Graphical Depiction of Fuzzy Decision Making
- - Visualizing the Fuzzy Controller’s Dynamical Operation
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- Classical Fuzzy Control Problem:
- - The Inverted Pendulum
- - Aircraft landing control
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- Industrial Applications Examples:
- - Fuzzy logic control of blood pressure during Anesthesia
- - Fuzzy logic application to image processing equipment
- - Customer fuzzy control of Home heating system
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Who Should Attend: |
- This course is constructed for control engineers and technicians.
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