Artificial Intelligence and Neural Networks - Fuzzy Logic

2.Tuning of a Fuzzy Controller For some dynamic systems there are not known precise forms of models. In such cases there is possible to use fuzzy controllers. w(t) ... required value - yelow, d(t)... an external disturbance - violet, y(t) outpur variable - green. The objective: To select the point in the experimental space for which: - Small number of steps from start to s, - The quantities of actions are not so large, - Low frequency of changes of polarity from the start to zone s, - The number of steps from attainment of zone s to its first leaving is very large, - The number of steps outside zone s from its first leaving is small. For the solution use the composition rule! 2.Tuning of a Fuzzy Controller For some dynamic systems there are not known precise forms of models. In such cases there is possible to use fuzzy controllers. w(t) ... required value - yelow, d(t)... an external disturbance - violet, y(t) outpur variable - green. The objective: To select the point in the experimental space for which: - Small number of steps from start to s, - The quantities of actions are not so large, - Low frequency of changes of polarity from the start to zone s, - The number of steps from attainment of zone s to its first leaving is very large, - The number of steps outside zone s from its first leaving is small. For the solution use the composition rule