Umělá inteligence v procesu řízení

Abstract

The thesis is focused on the identification of regulated systems, quality control process especially in the time domain, fuzzy controllers and module design to choose the type of fuzzy controller. Selected quality criteria regulatory process was used for the type of fuzzy module options fuzzy controller. As a basis for the knowledge base module were used, calculated data from the Microsoft Excel. Rule base and the module itself was created in NTS. Select module type fuzzy controller allows us to determine what type of fuzzy controller must be used for each system, if we know its quality criteria – overshoot, linear control area IE and ITAE criterion. It can serve as a basis for adaptive fuzzy controller.