A new class of fuzzy logic controllers: The CT-FLC

Abstract

This paper outlines the cognitive mechanisms employed in the development of a new class of fuzzy logic controllers called the Clearness Transformation Fuzzy Logic Controller "a-FLC". This controller employs a new scheme for approximate reasoning which gives better time performance and yield high control quality than the currently existing fuzzy umtrollers. The paper reports on the performance of the CT-FLC using results of simulation studies on the control of complex nonlinear systems.

An advanced system for the generation and tuning of fuzzy controller knowledge-base

“…A new inference method has been developed "The Clearness Transformation Mechanism of Inference" (CTMI) for the design of a new class of fuzzy controllers called : The Clearness Transformation Fuzzy Logic controllers (CTFLC) [4]. The new method assesses the clearness degrees of fuzzy patterns a n d accordingly performs the approximate reasoning procedure of the controller at the level of fuzzy patterns.…”