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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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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 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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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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Modern Control Engineering

recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability;

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Type 2 Fuzzy Neural Networks and Their Applications

of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making;

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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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Fuzzy Control Systems

concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general;

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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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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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Monitoring And Control Of Information-Poor Systems

fuzzy relational models which generate fuzzy outputs. The first part of Monitoring and Control of Information-Poor Systems aims to clarify why;

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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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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 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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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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System Identification and Adaptive Control

research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both;

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Fuzzy Control Systems

the development and research of fuzzy control system of floating dock docking operations. Chapter Five examines the problem of a robust H;

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Introduction To Type-2 Fuzzy Logic Control

Written by world-class leaders in type-2 fuzzy logic control, this book offers a self-contained reference for both researchers and students;

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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 Neural Networks for Real Time Control Applications

adaptation rules for type-1 and type-2 fuzzy neural networksNumber of case studies both in identification and controlProvides;

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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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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 Control

text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date;

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A First Course in Fuzzy and Neural Control

given situation. A First Course in Fuzzy and Neural Control is designed to build the foundation needed to make those decisions. It begins;

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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;

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