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Fuzzy Logic Speed Controllers Using FPGA Technique

. For comparison purpose, two widely used controllers are realized using the same FPGA kit: PID and Fuzzy. Simulations are performed using;

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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

controllers. Finally, fuzzy controller will be implemented using FPGA chip. The design will use a high-level programming language HDL for implementing;

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Speed Control of Synchronous Motor using FPGA

FPGA-based speed controller for a synchronous machine with an internal current control loop based on a predictive current controller;

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Fuzzy Control Systems

Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also;

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Fuzzy Control and Identification

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to;

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Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers

This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

algorithms with pulldown menus. This hands-on tutorial demonstrates both neural networks and fuzzy-logic control with a different approach. A natural;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

logic is one approach to meeting this challenge and providing reliability and power quality. The book is about fuzzy logic;

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Introduction to Fuzzy Systems

logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on;

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Fuzzy Logic Handbook

models and fundamentals of fuzzy logic and issues related to its technique and implementations. This book will prove beneficial to engineers;

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Fpga-Based System Design

> How VLSI characteristics affect FPGAs and FPGA-based logic design How classical logic design techniques relate to FPGA-based logic;

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Uncertain Rule-Based Fuzzy Logic Systems

uncertainties are present in a problem, much better performance is obtained by using a type-2 fuzzy logic system than by using a type-1 fuzzy logic;

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Model Based Fuzzy Control

with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has;

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Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control

different levels. Lastly for robust performance, disturbance is applied in MLS.For this task we have designed Interval Type-2 Fuzzy Logic Controller;

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Applications of Various Fuzzy Sliding Mode Controllers in Induction Motor Drives

This book contains publications on various fuzzy sliding mode speed controllers (FSMCs) based on the boundary layer approaches in the area;

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Fuzzy C-means Clustering using Pattern Recognition

The objective of this book is to talk about the usage of Fuzzy Logic in Pattern Recognition. There are different fuzzy approaches to;

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Fuzzy Control Systems

This book reviews fuzzy control systems. Chapter One presents a new class of fuzzy logic systems named type-2 fuzzy logic systems (T2FLS;

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FPGA Based Network Security Architecture for High Speed Networks

hardwaremodules are being realized using reconfigurable FPGA technology to supportheavy computation. Our work is mainly based on designing an efficient;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

with complicated nonlinear actuator dynamics. This book brings neural networks and fuzzy logic together with dynamical control systems. Each;

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Fuzzy Controllers Handbook

of membership functions, how to shape them properly, or how to debug a fuzzy controller; if you are a beginner with fuzzy logic, and so you would like;

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New Frontiers in Fuzzy Controllers

applications such as a two-layered control system, cycle-to-cycle fuzzy logic control etc. It will be a good source of reference for researchers;

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Soft Computing with NeuroFuzzy Systems

neuro-fuzzy systems, describing adaptive neuro-fuzzy logic system for heavy metal sorption in aquatic environments; automatic heart disease;

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Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic

of fuzzy logic using hybrid algorithms.;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

- certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and;

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Intelligent Control

The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two;

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