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Fuzzy Control, Estimation and Diagnosis

of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering;

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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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Hydrogen-Air PEM Fuel Cell

The book presents the modeling and control of hydrogen-air PEM fuel cells, including simultaneous estimation of the parameters and states;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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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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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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Proceedings of 2017 Chinese Intelligent Automation Conference

, multi-sensor integration, failure diagnosis, reconfigurable control, and etc. Engineers and researchers from academia, industry, and government;

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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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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and;

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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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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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Flight Mechanics Modeling and Analysis

fuzzy logic-based aspects in modeling and analysis of flight mechanics systems: aircraft parameter estimation, and reconfiguration of control;

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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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Cloud Control Systems

-triggered cloud control, predictive cloud control, fault-tolerant and diagnosis cloud control, cloud estimation methods, and secure control;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

properties such as structural observability and control lability, perform parameter estimation and fault detection and isolation, provide discrete;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

properties such as structural observability and control lability, perform parameter estimation and fault detection and isolation, provide discrete;

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Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes;

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Sliding Mode Control of Semi-Markovian Jump Systems

analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic;

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Advanced and Intelligent Computations in Diagnosis and Control

: (I) Fault Detection and Isolation; (II) Estimation and Identification; (III) Robust and Fault Tolerant Control; (IV) Industrial and Medical;

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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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