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Fuzzy Control Systems

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues;

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

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;

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

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Fuzzy Control Systems Design And Analysis

A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential;

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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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Introduction to Fuzzy Systems

mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a;

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Fuzzy Control of Industrial Systems

Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory;

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Fuzzy Control Systems

application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for;

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Soft Computing with NeuroFuzzy Systems

-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy;

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

control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic;

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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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New Frontiers in Fuzzy Controllers

research outcomes on diverse applications of fuzzy control systems. At the center of numerous engineering challenges is the question of controlling;

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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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Fuzzy Information Processing

, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

Most real physical systems are nonlinear in nature. Control and ?ltering of nonlinear systems are still open problems due to their;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the;

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Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;

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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

networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct;

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Fuzzy Set Theory and Advanced Mathematical Applications

coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The;

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Uncertain Rule-Based Fuzzy Logic Systems

For courses in Neural Networks and Fuzzy Systems; Fuzzy SystemsControl; Fuzzy Logic.The first book of its kind, this text explains how all;

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Fuzzy Control

This book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphasis is placed;

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

considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results;

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