ABSTRACT
In the last section, one has seen that fuzzy logic controllers can be designed to work even without any knowledge about the mathematical model (differential equation, transfer function, etc.) of the system (plant, process) for set-point tracking problems if the system output can be measured and used on-line. The main idea was to use the error signal (the difference between the reference signal and the system output) to drive the fuzzy logic controller, so as to create a new control action each time. These control actions should be able to alter the system outputs in such a way that the error signal is being continuously reduced until a satisfactory set-point tracking performance is achieved.
