Laissez-faire anticipatory fuzzy control

Anticipatory fuzzy control combines traditional fuzzy logic with feedback concepts and prediction of system behavior. Fuzzy rules in the system can be `nested´ so that it is not necessary to evaluate all rules at each time step if some smaller subset of rules will produce acceptable system behavior. A special case of anticipatory fuzzy control, the Laissez-faire controller, anticipates the unforced movement of the system, and if the system will move to decrease error, applies a control value of “O”. Anticipatory fuzzy rules are applied to generate a nonzero control value only when the anticipated behavior of the unforced system is unacceptable. This approach significantly decreases control energy necessary to control system performance, as well as processing time. Results are given comparing the response of the system as controlled by the Laissez-faire anticipatory fuzzy controller, a standard fuzzy logic controller, anticipatory fuzzy control, and a linear quadratic regulator