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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

will also show the design of fuzzy logic controllers for this model to prove that the fuzzy controller can work properly with nonlinear system;

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Fuzzy Controller Design

theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory;

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Genetic Algorithms, Fuzzy Systems & Website Classification

discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply;

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Soft Computing with NeuroFuzzy Systems

neuro-fuzzy inference system for optimal design of reinforced concrete beams; comparison between neural network and adaptive neuro-fuzzy;

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Fuzzy Controllers Handbook

This book teaches you how to design a fuzzy controller and shares the author's experience of design and applications. It is the perfect;

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Fuzzy Model Identification

During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

framework for designing robustH fuzzy controllers and ? robustH fuzzy ?lters for these classes of systems based on a Tagaki-Sugeno ? (TS) fuzzy;

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Model Based Fuzzy Control

objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers;

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Fuzzy Logic Speed Controllers Using FPGA Technique

. Furthermore, Fuzzy logic offers the advantage of a faster design, and emulation of human control strategies. Also, Fuzzy control works well for high;

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Fuzzy Control Systems Design And Analysis

stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number;

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

concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy;

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Der Fuzzy Controller. Grundlagen der Funktionsweise

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Handbook Of Vehicle Suspension Control Systems

systems; robust active control of an integrated suspension system; an interval type-II fuzzy controller for vehicle active suspension systems;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

control theory and produced many exciting results. Yesterday's art of building a working fuzzy controller has turned into today's science;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

control theory and produced many exciting results. Yesterday's art of building a working fuzzy controller has turned into today's science;

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An Introduction to Fuzzy Logic for Practical Applications

relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design;

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Sliding-Mode Fuzzy Controllers

controllers and their stability analysis; * state-of-the-art procedures for the design of a sliding-mode fuzzy controller; * source codes;

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Design and Real-time Implementation of a Fuzzy Vacuum Cleaner System

This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to;

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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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Model Free Adaptive Fuzzy Control

The control of uncertain non-linear plants is a challenging task. Adaptive Fuzzy Controllers have been applied widely for the control;

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Fuzzy Control and Identification

unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example;

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Control and Filtering of Fuzzy Systems with Switched Parameters

This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to;

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Control and Filtering of Fuzzy Systems with Switched Parameters

This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to;

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Customer Oriented Product Design: Intelligent and Fuzzy Techniques

advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis;

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