PPT-Fuzzy Control Lecture 1 Introduction

Basil Hamed Electrical Engineering Islamic University of Gaza Outline Introduction Definitions and Concepts Control Intelligent Control History of Fuzzy Logic Fuzzy Logic Fuzzy Control. Thus the outputs of a digital controller shou ld 64257rst be converted into analog signals before being applied to the systems Another way to lo ok at the problem is that the high frequency components of should be removed before applying to analog Frequency voltage and power flow control 2 Real and Reactive power scheduling Essentially these are routine control actions of a manual controller ie a systemplant operator or an automatic controller like a generator terminal voltage regulator These The process co nsidered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control valve NATIONAL INSTRUMENTS based hardware and software tools LabVIEW were used for precise and accurate acquisition measurement and ELEN 6778 APPLY NETWORK TECH/PHYSCL SYST. Professor Nicholas F. . Maxemchuk. Liyan. Sun. Objective. To improve the delay time in vehicles. By using Graph Theory and Fuzzy control method. Compared with the traditional control of time-fixed. In the last few years the applications of artificial intelligence techniques have been used to quires modeling of the physical reality. Three methods may be used in the description of a system [2] [3 Lecture . 2 Fuzzy Set. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. Crisp Sets. Fuzzy Sets. Set-Theoretic . Operations. Extension Principle. Fuzzy . Relations. Dr Basil Hamed. Lecture 1 Introduction. Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Lect. 5 . Fuzzy Logic Control. Basil . Hamed. Electrical Engineering . Islamic University of Gaza. Content. Classical Control. Fuzzy Logic Control. The Architecture of Fuzzy Inference . Systems. Fuzzy Control Model. FUZZY LOGIC. PRESENTED BY:. . VIVEK RAUNAK. . reg. : 13090260. CONTENTS. INTRODUCTION OF FUZZY LOGIC. HISTORIC BACKGROUND. ILLUMINATION CONTROL SYSTEM. ARCHITECTURE OF FLC. Lect. 5 . Fuzzy Logic Control. Basil . Hamed. Electrical Engineering . Islamic University of Gaza. Content. Classical Control. Fuzzy Logic Control. The Architecture of Fuzzy Inference . Systems. Fuzzy Control Model. Lect. 3 Membership Function and Approximate Reasoning. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. . Membership Function. . Features . of Membership Function. . Fuzzy Membership . Robert J. Marks II. Baylor University. Robert Jackson Marks II. 2. . “The image which is portrayed is of the ability to perform . magically well by the incorporation of `new age’ technologies. Pure fuzzy system. TSK fuzzy systems. Fuzzy system with fuzzier and . defuzzier. Fuzzy system as open-loop controller. Fuzzy system as . closed-loop . controller. Fuzzy washing machine. They were produced by Matsushita Electric Industrial Company in . Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Fuzzy Logic. Fuzzy Control.