engleski

Adaptive Fuzzy Logic Control Synthesis Without a Fuzzy Rule Base

This chapter is written with five principal objectives. The first one is to introduce a new adaptive shape of fuzzy sets and a new adaptive distribution of input fuzzy sets. That is important for the next two objectives, because it helps to reach them. A second objective is to determine an analytical activation function for activation of output fuzzy sets, instead of using of min-max operators. It gives the possibility for analytic solution of fuzzy logic control. The third objective is to introduce an analytical function that determines the positions of centres of output fuzzy sets in each mapping process, instead of definition of rule base. It is one of the possible ways to cope with a vexing problem in fuzzy logic: the exponential growth in rules as the number of variables increases . The fourth objective is to employ an analytic defuzzification formula as a function of positions of centres and shapes of output fuzzy sets, and of activation functions. It enables the whole analytic procedure and supports the concept of Fuzzy Logic Control system synthesis without any fuzzy logic rule. The fifth, and final, as well as very important objective is to introduce the adaptation of input fuzzy sets by employing of parameter adaptation scheme. It enables the adaptation of the distribution of input fuzzy sets to each concrete case, and , indirectly , the adaptation of the positions of centres of output fuzzy sets.

Fuzzy control, adaptive control, optimal parameter adaptation, heuristic parameter adaptation, no rule base approach

nije evidentirano