Fuzzy Logic is an innovative technology that enables the implementation of ‘intelligent’ functions in embedded systems. One of its advantages is, that even complicated functions and adaptive control loops can be implemented with the limited resources of low-cost 8 bit microcontrollers. We will discuss development methodologies, tools used, and code speed/size requirements of three case studies....

Background: Stakeholder prioritization is one of the most significant areas of software engineering. Although several stakeholder classification models have been proposed in the literature, they have many limitations that have to be considered. Most of existing stakeholder’s classification models assigns the same importance weight for stakeholders classified to the same class; this is not the c...

The Fuzzy Logic and the Fuzzy Control approach is an important Artificial Intelligence technique, which allows designing and developing “human-thinking” based, intelligent systems or applications that employ effective mathematical calculations to solve real-world based problems. At this point, the related technique is widely used by scientists, researchers and engineers in different disciplines...

This paper presents a fuzzy logic based speed control system for a current source PWM inverter fed indirect field oriented control of induction motors (IM). In this work the conventional PI controller is replaced by fuzzy based intelligent controller. The fuzzy logic controller employs different types of membership functions for each parameter for the efficient control of the drive system. The ...

This paper implements and compares Fuzzy-GA Direct Torque Control of AC drive with a fuzzy logic stand alone control architecture model. Fuzzy rules are generated by designers using trial and error method. Genetic Algorithm based fuzzy rules increase effectiveness and feasibility of control system. Direct Torque Control induction motors are characterized by complex, highly non-linear and time v...

Considering complex factors of affecting ambient temperature in Aircraft cabin, and some shortages of traditional PID control like the parameters difficult to be tuned and control ineffective, this paper puts forward the intelligent PID algorithm that makes fuzzy logic method and neural network together, scheming out the fuzzy neural net PID controller. After the correction of the fuzzy inferen...

In: Symbolic and quantitative approaches to reasoning and uncertainty. Abstract. Intelligent agents embedded in physical environments need the ability to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols refer to. Anchoring must rely on perceptual data which is inherently aaected by uncertainty. We propose an anchoring technique base...

Intelligent Universal Transformer (IUT) is a power electronic base transformer introducing for Advanced Distribution Automation (ADA) in future. ADA is the state of art employing the new architecture based on both the flexible electrical network and open communication construction comprise the Future Distribution System. Fuzzy control is a method based on fuzzy logic concept emphasizes on fuzzy...

The goal of this paper is to present a Fuzzy Instructional Planner belonging to an Intelligent Tutorial System (ITS) which has been designed as a tool for the reinforcement of the addition operation. We have modeled the uncertainty in the student’s knowledge and the teaching strategy by using principles from a rigorous fuzzy logic methodology. Key-Words: Fuzzy Systems, Artificial Intelligence, ...

In this paper, we propose a novel method for Information Extraction (IE) in a set of knowledge in order to answer to user consultations using natural language. The system is based on a Fuzzy Logic engine, which takes advantage of its flexibility for managing sets of accumulated knowledge. These sets may be built in hierarchic levels by a tree structure. The aim of this system is to design and i...