Maximum Entropy Approach to Fuzzy Control

Traditional control theory helps only in the situations when we know the behavior of the system that we are going to control. However, in many situations, e.g., in space exploration, we do not have this knowledge, but we still have to make control decisions. In such situations, a reasonable idea is to find an operator who is good in this kind of control, and translate his control experience into a precise formula. This control experience is not usually formulated in terms of the natural-language rules like “if x is small, then control must also be small”. The methodology of translating these rules into an actual control strategy was proposed by L. Zadeh under the name of fuzzy control [CZ72, M74] (for a survey see, e.g., [L90]).