Introduction
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the human. ....etc

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PH Control Technique using Fuzzy Logic

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a f ....etc

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In this context, FL (Fuzzy Logic) is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information. FL's approach to control problems mimics how a person would m ....etc

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Introduction

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the huma ....etc

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Neural networks and fuzzy logic in electrical engineering control courses

Abstract
Control system education must include experimental exercises that complement the theory
presented in lectures. These exercises include modelling, analysis and design of a control system. Key
concepts and techniques in the area of intelligent systems and control have been discovered and
developed over the past few decades. While some of these methods have significant benefits to offer,
engineers are often reluctant to utilise new intelligent ....etc

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Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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Introduction
Many decision-making and problem-solving tasks are too complex to be understood quantitatively, however, people succeed by using knowledge that is imprecise rather than precise. Fuzzy set theory, originally introduced by Lotfi Zadeh in the 1960's, resembles human reasoning in its use of approximate information and uncertainty to generate decisions. It was specifically designed to mathematically represent uncertainty and vagueness and provide formalized tools for dealing with the imprecision intrinsic to many p ....etc

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Introduction

In this context, FL is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information.

FL's approach to control problems mimics how a person ....etc

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An Introduction and Literature Review of Fuzzy Logic Applications for Robot Motion Planning
Abstract
This paper reviews fuzzy logic applications for robot motion planning. A short literature review is provided and three applications of fuzzy logic are considered: navigation and obstacle avoidance of a robotic vehicle in a 2D environment; a multilink industrial robot manipulator; and a robotic vehicle in a 3D environment. Scenarios are compared for their assignment of fuzzy sets, inference (rule base format and size), defuzzificat ....etc

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Fuzzy Logic Applications in Wireless Communications
Various areas pertaining to wireless communication systems utilize fuzzy logic. It is very much useful in modeling the problems in which all the inputs are not known or are impossible to obtain. The fuzzy logic can be easily applied to non-linear and time-variant systems and address the complex problems in this domain. Reduction in complexity and robustness can be achieved by the use of fuzzy logic. Human expert knowledge is incorporated into a rule-based framework by the fuzzy logic. ....etc

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