Next: Crisp and fuzzy logic Up: Course on Dynamics of Previous: Example of a state-feedback   Contents

Introduction to fuzzy techniques

Module overview. This is an introductory module to explain what the term fuzzy is and why fuzzy logic is used to solve control problems. First, the difference between the crisp binary valued logic and the fuzzy logic is explained by introducing the grade of truth. This is deepened by considering control system design with unknown information and with descriptions using rules and linguistic terms. The main ideas of the fuzzy control methodology is sketched and summarised in five steps, which are followed in the other modules.

Module objectives. When you have completed this module you should be able to:

  1. Understand the basic ideas of fuzzy logic.
  2. Understand the main objectives of control system design using fuzzy logic.
  3. Understand the basic ideas of fuzzy control.


Module prerequisites. Boolean algebra.



Subsections

Christian Schmid 2005-05-09