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Advanced and Intelligent Computations in Diagnosis and Control

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Cover of 'Advanced and Intelligent Computations in Diagnosis and Control'

Table of Contents

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    Book Overview
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    Chapter 1 Fault Diagnosis Based on Controller Modification
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    Chapter 2 One Approach to Design the Fuzzy Fault Detection Filters for Takagi-Sugeno Models
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    Chapter 3 Robust UIO Design for an Actuator Fault Identification
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    Chapter 4 Design of an Adaptive Sensor and Actuator Fault Estimation Scheme with a Quadratic Boundedness Approach
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    Chapter 5 Single Fault Isolability Metrics of the Binary Isolating Structures
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    Chapter 6 Optimal Sensor Placement Under Budgetary Constraints
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    Chapter 7 Discrete-Time Estimation of Nonlinear Continuous-Time Stochastic Systems
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    Chapter 8 Identification of Models and Signals Robust to Occasional Outliers
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    Chapter 9 Adaptive Actuator Fault Estimation for DC Servo Motor
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    Chapter 10 Evaluating the Position of a Mobile Robot Using Accelerometer Data
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    Chapter 11 Decentralized Scheduling of Sensor Networks for Parameter Estimation of Spatio-Temporal Processes
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    Chapter 12 MPC Framework for System Reliability Optimization
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    Chapter 13 Towards Robust Predictive Control for Non-linear Discrete Time System
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    Chapter 14 Self-healing Control Against Actuator Stuck Failures Under Constraints: Application to Unmanned Helicopters
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    Chapter 15 H $$_{\infty }$$ Approach to Virtual Actuators Design
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    Chapter 16 Design of a Predictive Fault-Tolerant Control for the Battery Assembly Station
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    Chapter 17 Approximate Models and Parameter Analysis of the Flow Process in Transmission Pipelines
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    Chapter 18 Leak Detection in Liquid Transmission Pipelines During Transient State Related to a Change of Operating Point
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    Chapter 19 Accuracy Investigations of Turbine Blading Neural Models Applied to Thermal and Flow Diagnostics
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    Chapter 20 Proposition of Electromyographic Signal Interpretation in the Rehabilitation Process of Patients with Spinal Cord Injuries
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    Chapter 21 Hybrid Classification of High-Dimensional Biomedical Tumour Datasets
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    Chapter 22 Learning and Memory Processes in Autonomous Agents Using an Intelligent System of Decision-Making
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    Chapter 23 Solving Highly-Dimensional Multi-Objective Optimization Problems by Means of Genetic Gender
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    Chapter 24 Experimental Comparison of Straight Lines and Polynomial Interpolation Modeling Methods in Ship Evolutionary Trajectory Planning Problem
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    Chapter 25 Robust Fault Detection by Means of Echo State Neural Network
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    Chapter 26 Towards Knowledge Compilation for Automated Diagnosis: A Qualitative, Model-Based Approach with Constraint Programming
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    Chapter 27 Development of Expert System Shell with Context-Based Reasoning
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    Chapter 28 Fault Detection Method Using Context-Based Approach
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    Chapter 29 Automatic Graph-Based Local Edge Detection
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    Chapter 30 Harmony Search to Self-Configuration of Fault-Tolerant Grids for Big Data
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Title
Advanced and Intelligent Computations in Diagnosis and Control
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-23180-8
ISBNs
978-3-31-923179-2, 978-3-31-923180-8
Authors

Zdzisław Kowalczuk

Editors

Kowalczuk, Zdzisław

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Student > Ph. D. Student 7 22%
Researcher 4 13%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 8 25%
Readers by discipline Count As %
Engineering 15 47%
Computer Science 6 19%
Psychology 1 3%
Design 1 3%
Unknown 9 28%