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Robust Nonlinear Fault Detection and Isolation of Robotic System

impact and even loss of human lives. This book focuses on model based fault detection and isolation for robotic systems. The methodology;

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Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems

; distributed fault detection and isolation strategy for a team of cooperative mobile manipulators; nonlinear optimal control for aerial robotic;

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Ac Electric Motors Control

observers, adaptive and robust nonlinear controllers, output-feedback controllers, fault detection and isolation algorithms, and fault tolerant;

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Multi model Jumping Systems Robust Filtering and Fault Detection

-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such;

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Operator-Based Nonlinear Control Systems Design And Applicat

uncertainties * Robust stability of operator-based nonlinear control systems * Tracking issues and fault detection issues in nonlinear control systems;

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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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Fault Detection

Fault detection and identification (FDI) play a fundamental role in most modern industrial systems and processes. They are essential;

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Gas Turbine Diagnostics

fault detection Innovative nonlinear filters for data cleaning developed using optimization methods An edge detector based on gradient and;

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Gas Turbine Diagnostics

calculations A process of automating fault isolation using a bank of Kalman filters, fuzzy logic systems, neural networks, and genetic fuzzy systems;

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Robotic Manipulators and Vehicles

vehicles. The nonlinear control and estimation methods it develops can be used generically, being suitable for a wide range of robotic systems;

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Intelligent Fault Diagnosis and Accommodation Control

design technologies for fault detection, isolation and identification as well as fault-tolerant control. These models are also used to analyse;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete;

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Fault Detection

and diagnosis of discrete event systems using time petri nets; fault detection and diagnosis using statistical and soft computing methods.;

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A Hybrid Approach for Power Plant Fault Diagnostics

of the fault detection and diagnostics framework, and highlights recent findings on power plant nonlinear model identification and fault;

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and;

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Fault Detection and Fault Tolerant Control for Nonlinear Systems

Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence;

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Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

monitoring and fault detection schemes, improved safety and reliability can be achieved for different engineering system operations. The importance;

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Robust Nonlinear Regression

; Theories of Robust Nonlinear Methods; Robust and Classical Nonlinear Regression with Autocorrelated and Heteroscedastic errors; Outlier Detection;

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Advances in Fault Detection and Diagnosis Using Filtering Analysis

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection;

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Robust Filtering and Fault Detection of Switched Delay Systems

of particular value in dealing with filter design and fault detection of switched system and time delay systems. In addition, it will be helpful and;

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Fault-tolerant Control Systems

industrial controller with the ability to overcome faults and process degradation. Fault detection and isolation is a broad ?eld with a research;

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Set-theoretic Fault-tolerant Control in Multisensor Systems

in Fault-tolerant Control 2. Fault Detection and Isolation in Multisensor Systems 3. Residual Generation and Reference Governor Design 4;

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault;

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Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control

to compensate for system faults and maintain robustly acceptable system performance. It covers the important subject of robust integration;

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Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control

to compensate for system faults and maintain robustly acceptable system performance. It covers the important subject of robust integration;

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability;

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Solving Fault Diagnosis Problems

This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the;

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