Details

Subject(s)

• Automatic control—Congresses [Browse]

Editor

• El Fadil, Hassan [Browse]
• Zhang, Weicun [Browse]

Series

• Lecture notes in electrical engineering ; Volume 1141. [More in this series]
• Lecture Notes in Electrical Engineering Series ; Volume 1141

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• Intro
• Contents
• ADRC Control of an Unmanned Under-Actuated Aerial Vehicle
• 1 Introduction
• 2 The Active Disturbance Reject Control
• 2.1 Introduction
• 2.2 Observer of the Extended State ESO
• 2.3 State Error Feedback (SEF)
• 2.4 Tracking Differentiator TD
• 3 System Description and Modelling
• 3.1 Translation Dynamics
• 3.2 For the Rotational Dynamic
• 4 Application of the ADRC
• 4.1 Translation Control through Z Axis
• 4.2 The X and Y ADRC Control
• 4.3 The 2, and  ADRC Control
• 5 Simulation
• 6 Conclusion
• References
• An Optical-Flow-Assisted Navigation Method for UAVs Using Sage-Husa EKF
• 1.1 A Subsection Sample
• 2 Methods
• 2.1 Optical Flow Auxiliary Information
• 2.2 Sage-Husa EKF-Based Information Fusion
• 3 Results
• 3.1 Optical Flow Field Calculation Results
• 3.2 Information Fusion Algorithm Simulation Results
• 4 Conclusion
• Critical Success Factors of Blockchain Implementation in the Automotive Supply Chain Management: Contribution Through an Interpretive Structural Model
• 2 Systematic Literature Review (SLR)
• 3 Methodology
• 3.1 ISM Approach
• 4 Results
• 4.1 Critical Success Factors (CSFs) for the Implementation of Blockchain in Automotive Supply Chain Management
• 4.2 Structural Self-Interaction Matrix (SSIM)
• 4.3 Reachability Matrix
• 4.4 Level Partitions
• 4.5 Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) Analysis.
• 5 Discuss the Results
• Wireless Communication Systems Applied to Ev Wireless Charger: State of the Art
• 2 Description of Wireless Communication
• 3 General Charging Sequences and Data Communication Requirements
• 4 Communication Standards for Electric Vehicle Wireless Chargers
• 5 Conclusion
• References.
• Enhancement of an Electric Vehicle's State of Charge Estimation Using an Extended Kalman Filter
• 2 Battery Modeling and SOC Estimation using EKF
• 2.1 Mathematical Model
• 2.2 Estimating State of Charge with EKF
• 3 Proposed Model
• 3.1 Thevenin Subsystem
• 3.2 Second Order RC Subsystem
• 4 Result and Discussion
• Observer-Based Controller Design for a Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot
• 2 System Description and Problem Statement
• 3 Main Result
• 4 Application to One-Link Flexible Joint Robot
• Comparative Study Between PI and Sliding Mode Control in NPC Inverter Integrated into PV System
• 2 Modeling System and Configuration
• 2.1 PV Cell Configuration
• 2.2 DC-DC Converters-Chopper
• 2.3 DC-AC Converter
• 3 Current Control in Three-Level NPC Inverter
• 4 DC-Link Voltage Control in Three Levels NPC Inverter
• 5 Simulation Results
• Enhancing CNN Architecture with Constrained NAS for Boat Detection in Aerial Images
• 2 Related Works
• 3 Method
• 4 Experiments and Results
• ANN and Voltage-Drop Hybrid Method for Fault Location in Electrical Power Distribution Systems
• 2 The Proposed Algorithm
• 3 Estimating the Apparent Reactance
• 4 Fault Distance Estimation
• 4.1 Mathematical Development
• 5 Neural Network Step
• 5.1 Neural Network Application to FL
• 5.2 Selecting the Right Architecture
• 5.3 Learning Rule Selection
• 5.4 Training Process
• 6 Test Results
• 7 Conclusion
• An Improved Nonlinear Control Design of A Grid-Connected Battery Storage System Through A Bidirectional Vienna Converter
• 2 System Modeling.
• 2.1 Grid-Connected Vienna Converter Modeling
• 2.2 Battery System Modeling
• 2.3 Overall Model of the System
• 3 Nonlinear Controller Design
• 3.1 Control Objectives
• 3.2 The Reactive Power Regulation
• 3.3 The Battery Voltage Regulation
• 3.4 The Battery Charging Current Regulation
• 3.5 The AC Grid Voltage Regulation
• 4 Simulation Results
• Engineering Education Using Serious Games: The Current State, Trends and Future Using a Bibliometric Study
• 2 Bibliometrics Theoretical Background
• 3 Research Analysis Using Bibliometrics
• 3.1 Methodology
• 3.2 Analysis Results
• 4 Serious Games in Education
• 5 Comparative Analysis
• 6 Discussion
• 7 Conclusion and Future Work
• Optimization Techniques of Circular Pad Design for Efficient Wireless Charging of Electric Vehicles
• 2 Optimization of Ferrite
• 2.1 The Importance of Ferrite in the WPT System
• 3 Comparison of Different Circular Configuration
• A Game Guidance Law Based on Model Predictive Control
• 2 Description of the Pursuit-Evasion Game Between Missile and Target
• 2.1 Relative Motion Model
• 2.2 Game Model of Missile and Target
• 3 Solution of Game Guidance Law Based on Model Predictive Control
• 3.1 Model Predictive Control
• 3.2 Game Guidance Law Solution
• 4 Simulation Analysis
• PEM Fuel Cell Parameters Identification Based on Grey Wolf Optimization Algorithm
• 2 Mathematical Model of PEMFC
• 3 Thermal Model of PEMFC
• 4 Grey Wolf Optimization
• 5 Experimental Results
• 5.1 Parameters Identification of the Thermal Model
• 5.2 Parameters Identification of the PEMFC Model
• Control of Interleaved Dual Boost Converter for Solar PV-Systems.
• 2 Converter Description and Modeling
• 2.1 Converter Description
• 2.2 Mathematical Model
• 2.3 Controller Design
• 2.4 Simulation and Results
• 2.5 Conclusion
• Speech Enhancement Based on the Combination of Deep Learning and Wavelet Algorithm
• 2 Basic Theory of Speech Enhancement
• 2.1 Traditional Speech Enhancement Algorithms
• 2.2 Deep Learning Speech Enhancement Algorithms
• 2.3 Principle of Speech Enhancement
• 2.4 Evaluation Metrics for Speech Enhancement
• 3 Wavelet Threshold Denoising
• 3.1 Selection of the Number of Wavelet Transform Decomposition Layers
• 3.2 Threshold Selection Regulations
• 3.3 Commonly Used Threshold Functions
• 4 Deep Learning-Based Speech Enhancement
• 4.1 Training Stage
• 4.2 Enhancement Stage
• 4.3 Speech Quality Assessment
• 5 Speech Enhancement by Deep Learning with Threshold Processing
• 5.1 Model Building and Parameter Configuration
• 5.2 Performance Analysis
• Hybrid Automaton-Fuzzy Control of Three-Phase Four-Wire Shunt Active Power Filter with Split Capacitor
• 2 Description and Modeling of the System
• 2.1 Description of SAPF
• 2.2 SAPF Modeling
• 3 The System's Controller Design
• 3.1 Design of the Inner Loop
• 3.2 Voltage Control Design
• 4.1 Performance Evaluation of Hybrid Approach with PI Regulator
• 4.2 Performance Evaluation of Hybrid Approach with Fuzzy Logic Regulator
• 5 Conclusions
• Design and Validation of a Backstepping Controller for Energy Storage Systems in EVs
• 2 Introduction and Modeling of the Energy Storage System
• 2.1 Introduction to the Energy Storage System
• 2.2 Model of the Association of the Super-Capacitor with the Buck-Boost Converter.
• 3 Backstepping Controller Design and Stability Analysis
• 3.1 Control Objective
• 3.2 Backstepping Control
• 3.3 Analysis of Results from Simulations and Experiments
• 4 Conclusions
• Tent Chaotic Virtual Force Algorithm Based Node Deployment of Wireless Sensor Network in Airport Terminal
• 2 Related words
• 2.1 System Models
• 2.2 Network Environment Model
• 3 Algorithm Analysis
• 3.1 Assumptions
• 3.2 Tent Chaotic Virtual Force Algorithm
• 3.3 Chaotic Virtual Forces
• Nonlinear Control Design of Three Terminal HVDC Transmission Systems to Improve FRT Capability
• 2 Three-Terminal HVDC System
• 2.1 System Structure and Description
• 2.2 VSC-HVDC System Dynamics
• 3 Nonlinear Control Design
• 3.1 Receiving Station Control
• 3.2 Sending Stations Control
• 4 Fault Ride-Through Capability Requirement
• 5 Simulation and Results
• 5.1 Result Under Normal Operation System
• 5.2 Result Under AC Ride Through Fault
• Backstepping-Based Control of Single-Phase AC-DC Bidirectional Power Converter in V2H Charger
• 2 System Modeling
• 2.1 AC-DC Power Inverter Modeling
• 3 Controller Design
• 3.1 Current Loop Design
• 3.2 Home-Voltage Loop Design
• Operational Consumption Planning in a Hybrid LV Microgrid
• 2 LV Microgrid Control and Management
• 2.1 The Structure of the Studied Microgrid
• 2.2 The Control System of a MG
• 3 Multi-Agent System (MAS)
• 3.1 MAS-Based Microgrid Control and Optimization
• 3.2 Optimization Algorithm
• 4 Turbulent Flow of Water-Based Optimization (TFWO)
• 4.1 TWFO Principle and Whirlpool Theory
• 4.2 TFWO Algorithm
• 5.1 A Competitive Study.
• 5.2 MAS and TFOW Optimization Results.

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ISBN

981-9701-26-0

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