Lecture2: Fuzzy Logic and Inferencing.Download PDF 616KB. Fuzzy Logic as interfacing technique in hybrid AI-systems. Extracting knowledge from data using an intelligent fuzzy data browser.Fuzzy Logic in Artificial Intelligence. Karl Menger fuzzy logic and artificial intelligence An experiment in reflection.Fuzzy Systems in AI. This paper reviews motivations for introducing fuzzy sets and fuzzy ...

Various method of speed control of DC motor is available in the literature. This paper presents design and implements of fuzzy logic in the speed control of DC motor. Fuzzy logic has found high application as a speed control techniques because of its ability to take into account vague and uncertainties [1]. This paper presents a MATLAB simulink model for speed control of DC motor using fuzzy lo...

With increased application of fuzzy logic in complex control systems, there is a need for a structured methodological approach in the development of fuzzy logic systems. Current fuzzy logic systems are developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. In this chapter a method for development of fuzzy system...

in this paper, the consequences of well-known characteristics of near-fault ground motions, forward directivity and fling step, on the seismic response control is investigated. an integrated fuzzy rule-based control strategy for building structures incorporated with semi active friction damping system with amplifying braces (fdsab) is developed. the membership functions and fuzzy rules of fuzzy...

Autonomous robot systems require complex control systems. Fuzzy Logic, a mathematical system developed by Professor Lotfi Zadeh, helps to reduce the complexity of modeling nonlinear problems. In the 1990s, Motorola developed the MC68HC12 microcontroller with native Fuzzy Logic instructions. This research determined the effectiveness of the MC68HC12’s Fuzzy Logic instructions for robotic control...