Fuzzy Logic B.Vasanth‚ Electrical and Electronics Department‚ Rajalakshmi Engineering College Thandalam‚ Chennai‚ India vasanth1508@gmail.com I. INTRODUCTION Fuzzy logic was developed by Lotfi A. Zadeh in the 1960s in order to provide mathematical rules and functions which permitted natural language queries. Fuzzy logic provides a means of calculating intermediate values between absolute true and absolute false with resulting values ranging between 0.0 and 1.0. With fuzzy logic‚ it
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Fuzzy Logic based Controller to improve Demand Side Management Nivedita Patnaik Department of Electrical Engineering Indian Institute of Technology‚ Kharagpur – 721302‚ India Abstract Energy demand management or Demand Side Management (DSM) involves actions that influence the pattern of energy consumption by consumers. In this paper a fuzzy logic based approach towards shifting the average power demand of residential electric water heaters has been discussed. Power system demand side management
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Overview The reasoning in fuzzy logic is similar to human reasoning. It allows for approximate values and inferences as well as incomplete or ambiguous data (fuzzy data) as opposed to only relying on crisp data (binary yes/no choices). Fuzzy logic is able to process incomplete data and provide approximate solutions to problems other methods find difficult to solve. Terminology used in fuzzy logic not used in other methods are: very high‚ increasing‚ somewhat decreased‚ reasonable and very low
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IMSC 500 TERM PAPER FUZZY LOGIC How can a logic which is "fuzzy" be useful? As humans‚ we often rely on imprecise expressions like "usually"‚ "expensive"‚ or "far". But the comprehension of a computer is limited to a black-white‚ everything-or-nothing‚ or true-false mode of thinking. Within conventional logic‚ terms can be only "true" or "false" i.e. either 0 or 1. Fuzzy logic allows a generalization of conventional logic. It provides for terms between "true" and "false" like "almost true"
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C HAPTER S EVENTEEN FUZZY LOGIC Slumber not in the tents of your fathers. The world is advancing. Advance with it. —Giuseppe Mazzini Industrial Text & Video Company 1-800-752-8398 www.industrialtext.com SECTION 5 Advanced PLC Topics and Networks Fuzzy Logic CHAPTER 17 C HAPTER H IGHLIGHTS Fuzzy logic provides PLCs with the ability to make “reasoned” decisions about a process. In this chapter‚ we will introduce you to the basics of fuzzy logic‚ including fundamental concepts
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ABSTARCT Fuzzy logic has rapidly become one of the most successful of today’s technologies for developing sophisticated control systems. The reason for which is very simple. Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from certain or approximate information. While other approaches require accurate equations to model real-world behaviors‚ fuzzy design can accommodate the ambiguities of real-world in human language
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Advanced system of auxiliary functions has been developed to help avoid such accident and minimize the effects of collision should one occur. Fuzzy logic provides tools for dealing with imprecision‚ which is fundamental to many engineering problems. The level of safety in our society could be archived by applying fuzzy logic control system. Fuzzy logic control technique has become an active area of research in the application of industrial processes‚ which are not friendly to straight control
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CANDIDATE’S DECLARATION I hereby certify that the work which is being presented in the project entitled “AIRCRAFT TAKE-OFF AND LANDING CONTROL SYSTEM USING FUZZY LOGIC CONTROLLER’’ in the partial fulfilment of requirements for the Award of degree of M.Tech (Electronics and Communication Engineering) submitted in the Department of Electronics and Communication Engineering at GURU NANAK DEV ENGINEERING COLLEGE‚ LUDHIANA under PUNJAB TECHNICAL UNIVERESITY‚ JALANDHAR is my work done to study aircraft
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Fuzzy Logic Technique for Smart Grid Fault Detection Dr. S G Srivani1 (IEEE Member)‚ Abhishek Kumar2‚ Abhinav U Patil3‚ Praveen G4 Abstract—this paper introduces the general aspects of smart grid‚ which is the combination of many latest technologies for effective energy distribution and usage. Fault occurrence in power grid is one event which is completely unexpected. Out of many Computational Intelligence methods to deal with such an event Fuzzy Logic techniques are
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control process and control systems (Sugeno et al.‚1993). Fuzzy logic is the most prominent approach for systems involving nonlinearities and lack of analytical models. The main advantage of this approach is that incorporates in advance qualitative information about the system behavior. Fuzzy logic is indispensable for the analysis of systems whose sharp representation with mathematical models is poor (Pappis et al.‚ 2000). In this study fuzzy logic is used to detect the forest roads on the generated DTM
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