Introduction and Background Fuzzy Logic Genetic Algorithms Neural Networks Feedback Links Page Information

Introduction to fuzzy control systems

Fuzzy control systems are a development of fuzzy logic that allows for extremely precise control of robotic systems. While, this seems contradictory, that fuzzy systems would be more precise than crisp systems, in actuality it is not. A fuzzy control system accounts for ambiguities in the data by giving it a level of confidence rather than declaring the data simply true or false. For example a simple example of a fuzzy control system, would be an air conditioning unit. A crisp air conditioning unit would turn on when the temperature dropped below a certain degree. However, a fuzzy system is capable of deciding whether the room is "normal" "warm "very warm" or "hot." Thus, the system can also cool down a "little" "a good amount" or "a lot." The picture below is a simple illustration of how a fuzzy control system processes data and performs actions.