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. Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca Frank Costanzo – MAT 7670 Spring 2012. Introduction. Fuzzy logic began with the introduction of Fuzzy Set Theory by . Lotfi. . Zadeh. in 1965.. Fuzzy Set. Sets whose elements have degrees of membership. 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. Lotfi. . Zadeh. (professor at UC Berkeley) wrote his original paper on . fuzzy set theory. . In various occasions, this is what he said…. “Fuzzy logic is a means of presenting problems to computers in a way akin to the way humans solve them”. Outline. Graph and fuzzy graph. Characteristics of fuzzy relations. Types of fuzzy relations. Graph and fuzzy graph. Graph. Graph and fuzzy graph. Fuzzy graph. ~. V : . is fuzzy node. ~. Graph and fuzzy graph. Mengdi. Wu x103197. 1. Introduction. What are Genetic Algorithms?. What is Fuzzy Logic?. Fuzzy . Genetic Algorithm . 2. What are Genetic Algorithms?. Software programs that learn in an evolutionary manner, similarly to the way biological system evolve.. Outline. The importance of instance selection. Rough set theory. Fuzzy-rough sets. Fuzzy-rough instance selection. Experimentation. Conclusion. Knowledge discovery. The problem of too much data. Requires storage. Connectivity. , . Distance Transform, . and their . Applications. Punam Kumar Saha. Professor. Departments of ECE and Radiology. University of Iowa. pksaha@engineering.uiowa.edu. References. [1] P. K. Saha, J. K. Udupa, and D. . Enhancing flexibility a. nd. . adaptab. i. lity. of . workf. l. ow. management systems by their integration with fuzzy . ontologies. Václav Slavíček. University . of. Hradec Králové. Faculty of Informatics and Management. 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. Martin Köhler. DLR Oberpfaffenhofen. 15th EMS/12th ECAM. 07 – 11 September, Sofia, . Bulgaria. Adverse. . weather. . is. . responsible. . for. . 40-50%. . of. all . delays. in . Europe . (. Lect. 3 Membership Function and Approximate Reasoning. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. . Membership Function. . Features . of Membership Function. . Fuzzy Membership . Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. . Membership Function. . Features . of Membership Function. . Fuzzy Membership . Functions. . . Types . of Membership . Syntax. Using an ARDS detection automaton as a working example. Jeroen S. DE BRUIN. 1,2. ,. . Heinz STELTZER. 3. , . Andrea RAPPELSBERGER. 1. , . and . Klaus-Peter ADLASSNIG. 1,2. 1 . Section for Artificial Intelligence and Decision Support, .