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

equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory;

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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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Analytical Methods in Fuzzy Modeling and Control

applications. The number of entries in the INSPEC database with keywords fuzzy mod- ing and fuzzy control dated 1969-2007is 1,541 and 9,728;

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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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Hydrogen-Air PEM Fuel Cell

, fuzzy cluster modeling, SPM-based predictive control and advanced fuzzy control. MATLAB/Simulink-based modeling and control programs are;

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Secure Control of Networked Control Systems and Its Applications

-agent system and its applications in power systems. The proposed secure control methods provide some useful results about modeling of network;

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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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Insight into Fuzzy Modeling

of fuzzy modeling. The second part presents selected applications in three important areas: control and decision-making, image processing, and time;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control;

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Fuzzy Arbitrary Order System Fuzzy Fract

of fuzzy set theory, an introduction of fuzzy arbitrary order differential equations, and various analytical and numerical procedures for solving;

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Intelligent Control

including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

This book aims at investigating PDE modeling and vibration control of some typical mechanical distributed parameter systems. Several;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

This book aims at investigating PDE modeling and vibration control of some typical mechanical distributed parameter systems. Several;

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Uncertainty Modeling and Analysis in Civil Engineering

of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics;

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Uncertainty Modeling and Analysis in Engineering and the Sciences

appropriate analytical tools for particular problems. This volume covers primary components of ignorance and their impact on practice and decision;

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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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Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

and validation of advanced control systems for non-invasive grasp neuroprostheses.;

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Modeling and Control of Engineering Systems

control, instrumentation, experimentation, and design. It includes theory, analytical techniques, popular computer tools, simulation details, and;

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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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Chemometrics

. Analytical databases are equally covered as are applications of multiway analysis, artificial intelligence, fuzzy theory, neural networks, and;

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Fuzzy Modeling and Control Theory and Applications

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the;

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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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Computational Methods and Production Engineering

computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization;

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Toward Humanoid Robots: The Role of Fuzzy Sets

and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all;

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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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Modeling, Simulation and Visualization Methods

Methods Visualization, Graphical User Interface, Tools and Techniques Modeling Visualization, HCI, Fuzzy Logic, Manet, and Applications;

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