Fuzzy Logic and Systems
Fuzzy logic is a mathematical theory which extends the classical binary logic to the continuous decision interval [0, 1]. In the last decade fuzzy logic has become an important ingredient in scientific and engineering "tool boxes" in many theoretical and application areas. Fuzzy systems, which are based on fuzzy logic principles, are very successfully employed in areas in which continuous decisions (instead of binary ones) are required. The main applications of this theory are: artificial expert systems, nonlinear system control, pattern recognition, etc. Use of fuzzy logic in practical applications enables solving of previously unsolved problems, considerable time saving in development of new systems, and improvement in existing system performance.
The lecture will start with a theoretical introduction to fuzzy logic, continue with discussion of the practical value of fuzzy systems, and will end with a demonstration of Real Time (RT) design (together with the audience) of a nonlinear fuzzy control (expert) system, including RT simulation of the designed system.