
Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control
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This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment.
The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
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Persons
Jianglong Yu is with the School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Jianglong Yu is currently an Associate Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include cooperative control and cooperative guidance for multiple vehicle systems.
Yumeng Liu is with the Institute of Software, Chinese Academy of Sciences, Beijing 100191, China.
Yumeng Liu is currently a Senior engineer at the Institute of Software, Chinese Academy of Sciences. His research interest covers multi-agent system and database technology.
Qingdong Li is with the School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Qingdong Li is currently an Associate Professor with the School of Automation Scienceand Electrical Engineering, Beihang University, Beijing, China. His research interests include cooperative control and cooperative guidance for multiple vehicle systems.
Content
- Intro
- Contents
- Attention Scheduler Based on Reinforcement Learning for Multi-robot System
- 1 Introduction
- 2 Preliminary Work
- 3 Method
- 3.1 Architecture
- 3.2 Attention Scheduler
- 3.3 Training of Attention Scheduler
- 4 Experiment
- 5 Conclusion
- References
- Collaborative Search Method of Heterogeneous UAVs in Gray Area
- 1 Introduction
- 2 Problem Formulation of Heterogeneous UAVs Collaborative Search
- 2.1 Task Area Mode
- 2.2 UAV Model
- 2.3 Motion Target Model
- 2.4 Collaborative Search Planning Model
- 3 Construction and Updating of the Search Information Map
- 3.1 Target Probability Distribution Map
- 3.2 Environmental Uncertainty Map
- 3.3 Revisit Pheromone Map
- 4 Heterogeneous UAV Swarm Cooperative Search Planning Method in the Gray Region
- 4.1 "Z-shaped" Coverage Search Method
- 4.2 Receding Horizon Architecture
- 4.3 Collaborative Search Planning Process Based on Information Map
- 5 Simulation Experiments
- 5.1 Experimental Parameter Settings
- 5.2 Collaborative Search Planning Results
- 5.3 Impact of Objective Function Gain Weights on Search Effectiveness
- 5.4 Performance Comparison of Search Algorithms
- 6 Conclusions
- References
- Network Intrusion Detection via Oversampling and Transformer-BiLSTM-MLP
- 1 Introduction
- 2 Problem Formulation
- 3 NIDS
- 3.1 Data Preprocessing
- 3.2 Transformer Encoder
- 3.3 BiLSTM
- 3.4 MLP
- 4 Experiment
- 4.1 Experiment Environment
- 4.2 Dataset
- 4.3 Evaluation Metrics
- 4.4 Hyper Parameter Setting
- 4.5 Experiment Results
- 5 Conclusion
- References
- Technical Conception of Large-Scale Site Operation and Maintenance Supported by Hyperspectral Information
- 1 Introduction
- 2 Current Technical Challenges
- 3 Technical Conception
- 3.1 Scenario Design and Demand Analysis
- 3.2 Analysis Using Basic Technology
- 3.3 Large-Scale Data Management Combined with Depository
- 3.4 Physics Information Dynamic Association
- 4 Conclusions
- References
- DQN-Based Sensor Attack Detection for Quadrotor
- 1 Introduction
- 2 Prepare Knowledge
- 2.1 System Model
- 2.2 Extended Kalman Filter Algorithm
- 2.3 Chi-Square Attack Detection
- 2.4 Problem Formulation
- 3 DQN Based Senor Attack Detector Design
- 3.1 POMDP Principle
- 3.2 POMDP Modeling of Attack Detection
- 3.3 DQN Based Attack Detection Process
- 3.4 The Realizations of DQN Based Attack Detection
- 4 Simulation Results
- 4.1 Stealthy Attack
- 4.2 Detection Performance Evaluation
- 5 Conclusion
- References
- Target Tracking Method Based on LSTM-EKF
- 1 Introduction
- 2 EKF Algorithm
- 3 LSTM Network
- 4 Target Tracking Error Compensation Model Based on Deep Learning Network
- 5 Simulation Result
- 6 Simulation Result Analysis
- 7 Summary
- References
- Research on Intelligent Collaborative Perception of Space Non-cooperative Targets Based on AOCS Platform
- 1 Introduction
- 2 Intelligent Collaborative Perception Module
- 2.1 Space Target Multidimensional Model Dataset
- 2.2 Space Target Intelligent Collaborative Perception Algorithm Interaction Environment
- 2.3 Space Target Model Feature Clustering and Recognition Software
- 2.4 Space Target Model Matching and Situation Association Software
- 2.5 Space Target Position and Attitude Measurement Software
- 2.6 Parallel Computing Module
- 3 Space Target Model Feature Clustering and Recognition Software
- 3.1 Composition of Software
- 3.2 Satellite Identity Recognition Submodule
- 3.3 Satellite Target Detection Submodule
- 3.4 Satellite Local Feature Detection Submodule
- 4 Space Target Model Matching and Situation Association Software
- 4.1 Digital Template Matching Module
- 4.2 Situation Association Module
- 5 Space Target Position and Attitude Measurement Software
- 6 Conclusion
- References
- Target Acquisition Probability of Air-To-Air Missiles in Kill Web
- 1 Introduction
- 2 Target Acquisition Probability
- 3 Target Indication Error
- 4 Simulation Results
- 4.1 Calculation of Typical Case
- 4.2 Sensitivity Analysis
- 5 Conclusion
- References
- Indicators and Validation Methods for Swarm Situational Awareness Assessment of Uncrewed Aerial Vehicles
- 1 Introduction
- 2 Technical Challenges
- 3 Index Evaluation Method for Uncrewed Cluster Situation Awareness Technology
- 3.1 Algorithm Complexity Index Evaluation Method
- 3.2 Algorithm Accuracy Evaluation Methods
- 4 Simulation and Verification Platform for Uncrewed Cluster Situational Awareness Technology
- 5 Conclusion
- References
- A Deep Reinforcement Learning Approach to Multi-agent Search and Rescue in Unknown Environments
- 1 Introduction
- 2 Problem Formulation
- 3 Approach
- 3.1 Multi-agent Reinforcement Learning
- 3.2 Reward Function Design
- 3.3 Network Structure
- 3.4 Policy Training
- 4 Simulation
- 4.1 Simulation Setup
- 4.2 Simulation Results
- 5 Conclusion
- References
- Multi-objective Group Decision and Cooperative Planning Based on Preference and Fuzzy Measure
- 1 Introduction
- 2 Preliminaries
- 3 Methodology
- 3.1 Cognitive Model
- 3.2 Decision Agency
- 3.3 Motion Planning
- 4 Simulation
- 4.1 Simulation Declaration
- 4.2 Implementation Process
- 5 Conclusion
- References
- Entropy-Based Health State Evaluation of Unmanned Cluster Systems
- 1 Introduction
- 2 Health State Analysis and Modeling of Unmanned Cluster Systems
- 3 Entropy-Based Health State Evaluation
- 3.1 Reliable Entropy and Group Entropy Fundamentals
- 3.2 Health State Entropy Construction for Unmanned Cluster Systems
- 4 Case Study
- 5 Conclusion
- References
- Air Target Threat Assessment Based on Graph Convolutional Neural Network
- 1 Introduction
- 2 Problem Formulation
- 3 Threat Assessment Model
- 4 Experiments and Results
- 4.1 Dataset
- 4.2 Baseline Model
- 4.3 Results of the GCN Model
- 4.4 Case Study
- 4.5 Comparison and Discussion
- 5 Conclusion
- References
- Intelligent Flow Measurement and Control on Agricultural Channels Using the HSM Gate System
- 1 Introduction
- 2 Measuring Equipment and Systems
- 2.1 Measuring Equipment Design
- 2.2 HSM Gate Systems
- 3 Model of Improved Flow Calculations
- 3.1 Flow Discharge Equation Based on Improved Hydraulic Radius
- 3.2 Flow Equation Based on Dimensional Analysis
- 4 Results and Discussion
- 4.1 Experimental Design
- 4.2 Improved Hydraulic Radius Results
- 4.3 Results Based on Dimensional Analysis
- 4.4 Discussion
- 5 Summary and conclusions
- References
- False Data Injection Attack Detection for Virtual Coupling Heavy-Haul Trains
- 1 Introduction
- 2 Cyber-Physical Preliminaries of Virtual Coupling Systems
- 2.1 Physical Modeling
- 2.2 Cyber Modeling
- 2.3 Virtual Coupling Systems
- 3 False Data Injection Attack Detection
- 3.1 False Data Injection Attacks Modelling
- 3.2 Reservoir Computing-Based Anomaly Detection
- 4 Simulation Results
- 5 Conclusion
- References
- Research on Sea-Air Unmanned Systems Collaboration for Amphibious Assault
- 1 Introduction
- 2 Development of Sea-Air Unmanned Systems
- 2.1 Strategic Planning
- 2.2 Development of Unmanned System Equipment
- 2.3 Trials and Exercises
- 3 Amphibious Assault Scenario for Coordinated Sea-Air Unmanned Systems
- 3.1 Analysis of Operational Requirements
- 3.2 Combat Scenarios and Processes
- 3.3 System Node Composition and Division of Labor
- 4 Key Issues and Future Trends
- 4.1 Key Issues
- 4.2 Future Trends
- 5 Epilogue
- References
- Distributed Multi-robot Navigation in Dynamic Environment via Deep Reinforcement Learning
- 1 Introduction
- 2 Problem Formulation
- 2.1 Multi-robot Navigation Problem
- 2.2 Reinforcement-Learning Setup
- 3 Distributed Multi-robot Navigation Method
- 3.1 Deep Neural Network Structure
- 3.2 Distributed Multi-robot Proximal Policy Optimization
- 3.3 Adding Controller Guidance
- 4 Simulation
- 4.1 Experimental Platform
- 4.2 Multi-scenario Training Method
- 4.3 Simulation Experiments
- 4.4 Comparison Experiments
- 5 Physical Experiment
- 6 Conclusion
- References
- Distributed Observer for Descriptor Linear System: Summary of Results
- 1 Introduction
- 2 Preliminaries and Problem Formulation
- 2.1 Preliminaries
- 2.2 Problem Formulation
- 3 Main Results
- 4 Simulation
- 5 Conclusions
- References
- Relative Navigation of Unmanned Aerial Vehicles Based on Data Link Ranging and Partial Guidance Information
- 1 Introduction
- 2 Relative Motion Dynamics Model
- 2.1 Attitude Differential Equations
- 2.2 Velocity Differential Equations
- 2.3 Relative Dynamic
- 3 Measurement Model
- 4 Observability Analysis
- 5 Numerical Simulation
- 6 Conclusions
- References
- An IMU Aided Robust LiDAR SLAM Method for UAVs in Pipeline Environment
- 1 Introduction
- 2 IMU Aided SLAM Framework
- 2.1 State Prediction
- 2.2 Scan Matching
- 2.3 Environment Change Detection
- 2.4 Filter Update
- 2.5 Mapping
- 3 Experiments and Analysis
- 3.1 Experiment Setup
- 3.2 Experiment Results
- 4 Conclusion
- References
- Overview of Anti-jamming Strategy for UAV Radar in Naval Battlefields
- 1 Introduction
- 2 Typical Vessel Jamming and Usage Strategy
- 2.1 Chaff Jamming
- 2.2 Inflatable Corner Reflector
- 2.3 Active Jamming
- 2.4 Combination Jamming
- 3 Typical Vessel Jamming and Usage Strategy
- 3.1 Anti-jamming Strategy for Passive Jamming
- 3.2 Anti-jamming Strategy for Active Jamming
- 4 Development Trend of Research on Anti-jamming Strategy
- 4.1 Autonomy
- 4.2 Intelligent
- 5 Conclusion
- References
- A Decomposed Encryption-Decryption Scheme for Deception Attack Detection and Privacy-Preserving
- 1 Introduction
- 2 Preliminaries and Problem Description
- 2.1 System Model
- 2.2 Graph Theory
- 2.3 State Decomposition
- 2.4 Attack Model
- 3 Decomposed Encryption-Decryption Scheme
- 3.1 Decomposition Process
- 3.2 Encryption and Decryption Process
- 3.3 Digital Signature
- 4 Performance Analysis
- 4.1 Average Convergence Analysis
- 4.2 Privacy Preserving Analysis
- 4.3 Attack Detection Analysis
- 5 Simulation Examples
- 6 Conclusions
- References
- Relative Position Estimation Method of Multi-robot Based on 2D Lidar
- 1 Introduction
- 2 Related Work
- 2.1 Time-Frame
- 2.2 Lidar Data Collection
- 2.3 Robot Address and Motion Model
- 2.4 Conversion of Lidar Polar Coordinate System to Rectangular Coordinate System
- 3 Dynamic Point Cloud Detection
- 3.1 Dynamic Point Cloud Clustering
- 4 Recognition and Track of Point Cloud for Target Robot
- 5 Experiment and Analysis
- 5.1 Simulation Platform Experiment and Analysis
- 5.2 Field Experiment and Analysis
- 6 Conclusion
- References
- Attack Detecting for the Multi-robots Systems: An Integrated Cyber-Physical Approach
- 1 Introduction
- 2 Platform Construction
- 3 Methodology
- 3.1 Cyber Attacks Against Multi-robot Systems
- 3.2 Cyber Attack Detection Methods Incorporating Information-Physical Features
- 3.3 Experiments and Results
- 4 Conclusion
- References
- Situation Awareness Based Continuous Time Learning Process and Convergence Analysis*-10pt
- 1 Introduction
- 2 Background and Terminology
- 3 Convergent Learning Process
- 3.1 Situation Awareness Based Continuous Time Learning Process
- 3.2 Convergence to the Nash Equilibrium
- 4 Situation Awareness Policy Optimization
- 5 Experiments
- 6 Conclusion
- References
- MADDPG-Based Distributed Cooperative Search Strategy for Heterogeneous Agents System
- 1 Introduction
- 2 Preliminaries
- 2.1 Environment Modeling
- 2.2 Heterogeneous Multi-agent Systems
- 2.3 Problem Formulation
- 3 Cooperative Framework
- 3.1 Feature-Based MADDPG Framework
- 3.2 Reward Design
- 4 Simulations
- 4.1 Environment Settings
- 4.2 Performance Metrics
- 4.3 MADDPG Training
- 5 Conclusion
- References
- Fixed-Time and Prescribed-Time State Estimation of Multi-layer Complex Dynamical Network with Incomplete Measurements
- 1 Introduction
- 2 Problem Formulation
- 3 Some Lemmas and Assumptions
- 4 Fixed-Time
- 5 Prescribed-Time
- 6 Numerical Simulation
- 6.1 Fixed-Time State Estimation Simulations
- 6.2 Prescribed-Time State Estimation Simulations
- 7 Conclusion
- References
- Cooperative Localization of Unmanned Aerial Vehicles in Time-Invariant Formation
- 1 Introduction
- 2 Preliminaries: State Propagation of Single UAV
- 2.1 State Vector
- 2.2 Discrete-Time Error State Propagation
- 3 Cooperative Localization Using Partial Range-Bearing Measurements
- 3.1 Discrete-Time Error State Propagation
- 3.2 Range-Bearing Measurement Update for Leader
- 3.3 Range-Only Measurement Update for Followers
- 4 Experiments
- 4.1 The Influence of Ground Station on Cooperative Navigation System
- 4.2 The Impact of Distributed Cooperative Filtering Frameworks on Cooperative Navigation Systems
- 5 Conclusions and Future Work
- References
- A Novel Model of Mixed Traffic Groups Considering Large Vehicles from Cyber-Physical Perspective
- 1 Introduction
- 2 Macro Model of Mixed Vehicle Groups
- 3 Linear Stability Analysis
- 4 Simulations
- 4.1 Stability Phase Diagrams
- 4.2 Spatiotemporal Evolution Diagrams
- 5 Conclusion
- References
- Ship Size Attribute Reconstruction Method Based on Multi-aircraft Collaborative Detection
- 1 Introduction
- 2 Method of Ship Size Attribute Reconstruction
- 3 Model Application Conditions and Boundary Performance Analysis
- 3.1 The Angle of Two Radars Line-of-Sight is Equal to 0° or 180°
- 3.2 The Angle of Two Radars Line-of-Sight is Acute
- 3.3 The Angle of Two Radars Line-of-Sight is Right Angle
- 3.4 The Angle of Two Radars Line-of-Sight is Obtuse
- 3.5 Summary
- 4 Simulation and Analysis
- 4.1 Simulation Conditions
- 4.2 Analysis of Simulation Results
- 5 Conclusion
- References
- Relative Position-Based Collaborative Navigation for Cluster UAVs
- 1 Introduction
- 2 Program Design
- 2.1 Collaborative Navigation Modeling
- 2.2 Untraceable Kalman Filter
- 3 Simulation Results and Analysis
- 4 Conclusion
- References
- Bearings-Only Multi-Target Tracking via Multi-LOS Fusion
- 1 Introduction
- 2 Establishment of Kinematics and Measurement Models
- 2.1 Target Motion Model
- 2.2 Bearings-Only Measurement Model
- 3 Multi-LOS Fusion
- 3.1 Analysis of Estimation Performance Using CRLB
- 3.2 The Process of EKF
- 3.3 Multi-sensor Selection for Target Tracking
- 4 Numerical Simulations
- 5 Conclusion
- References
- A DNN-Based Method for Calculating Minimal Inter-satellite Distances
- 1 Introduction
- 2 Inter-satellite Distance Function
- 2.1 Satellite Relative Motion Equations
- 2.2 Distance Function
- 2.3 The Range of Points of Minimum Value Points
- 3 Constructing the DNN Computational Model
- 3.1 The Model for Solving the Minimum Inter-satellite Distance Problem Based on DNN
- 3.2 Structure of the DNN
- 3.3 Data Generation
- 4 Numerical Simulation
- 4.1 Simulation of the Minimum Value Points of the Distance Function
- 4.2 Performance Analysis of the DNN Model
- 5 Conclusions
- References
- Design of Electromagnetic Alarm System for Multi-radar Ship Platform Based on Deep Learning
- 1 Introduction
- 2 Electromagnetic Alarm System Design
- 2.1 Overall Structure Design
- 2.2 Deep Neural Network Design
- 2.3 Training Algorithm Design
- 3 Simulation
- 3.1 Training Results
- 3.2 Numerical Simulation Results
- 4 Conclusion
- References
- A Method for Evaluating the Observation Effectiveness of Microwave Remote Sensing Satellite Constellation
- 1 Introduction
- 2 Problem Formulation
- 3 Method
- 3.1 Metrics for Constellations on Area
- 3.2 Proposed Software Tool
- 4 Case Study
- 4.1 Setup
- 4.2 Results
- 5 Conclusion and Discussion
- References
- Design and Simulation of Anti-interference Control Method for UAVs in Underground Navigation Free Environment
- 1 Introduction
- 2 Research Object
- 2.1 A Subsection Sample
- 2.2 Aerodynamic Drag Model
- 2.3 Control Object
- 3 Control Method
- 3.1 Description of UAV Interference Model
- 3.2 DO-MPC Position Controller Design
- 4 Simulation
- 4.1 Simulation Scenario Description
- 4.2 Simulation and Verification of Wind Interference Resistance for Unmanned Aerial Vehicle Flight in Tunnels
- 5 Conclusions
- References
- Design and Verification of 2DOF Visual Servo Control for Target-Pointing Task
- 1 Introduction
- 2 Preliminaries
- 2.1 Modeling the 2-DOF Turntable
- 2.2 Problem Formulation
- 3 System Design
- 3.1 Design of the Whole System
- 3.2 Control Design
- 3.3 Target Detection Algorithm
- 4 Simulation Results
- 4.1 ResNet50-SSD Verification Result
- 4.2 Co-simulation Result
- 5 Conclusion
- References
- Influence of Edge Weight on Controllability of Real Network Systems
- 1 Introduction
- 2 Controllability of Complex Networks
- 3 Controllability Properties of Real Network Systems
- 4 The Role of Mirror Structure
- 5 Method and Analytical Results
- 6 Conclusions
- References
- A Novel Subspace-Based Observer for Servo Systems Fault Prediction
- 1 Introduction
- 2 Identification of the Data-Driven SKR
- 2.1 System Description
- 2.2 Definition of SKRs
- 2.3 Closed-Loop Subspace Identification Method
- 3 Design of Two-Dimensional Fault Observer
- 3.1 Fault Sensitivity System
- 3.2 Application in Fault Prediction
- 4 Experimental Verification
- 5 Conclusion
- References
- Application Research of Edge Computing in Airborne Networks Algorithm
- 1 Introduction
- 1.1 Mosaic Warfare
- 1.2 Edge Computing
- 1.3 Computing Offloading
- 2 Mathematical Modeling of Target Problem
- 2.1 Local Execution Model
- 2.2 Computing Offloading Model
- 3 BAS Algorithm Optimization
- 3.1 Classical BAS Algorithm
- 3.2 Improvement of Bas Algorithm
- 3.3 Simulation Verification
- 4 Conclusion
- References
- Research on Aviation Combat Simulation Based on STK and FMI
- 1 Introduction
- 1.1 Functional Mockup Interface
- 1.2 System Tool Kit
- 2 Architecture Design of Simulation Platform
- 2.1 Configuration Tool
- 2.2 Simulation Engine
- 3 Co-simulation Method
- 3.1 Interaction Between Simulation Platform and FMU Model
- 3.2 Data Transmission Between Simulation Platform and STK
- 4 Aviation Scene Establishment and Simulation
- 4.1 Combat Scenario Description
- 4.2 STK Scene Modeling
- 4.3 Refueling FMU Model Simulation Design
- 4.4 Plotting and Output
- 5 Conclusion
- References
- Parameter Estimation of Unmanned Vehicle Based on ESO and EKF Algorithm
- 1 Introduction
- 2 Problem Statement
- 3 Parameter Estimation
- 4 Observability Analysis
- 5 Simulation
- 6 Conclusion
- References
- Digital Twin Motion Modeling of an Autonomous Surface Vehicle Based on Meta-learning Predictor
- 1 Introduction
- 2 Problem Formulation
- 3 Digital Twin Motion Modeling
- 3.1 Offline Meta-learning
- 3.2 Online Adaptation
- 4 Simulation Results
- 5 Conclusion
- References
- Cooperative Filtering with Range Measurements: A Distributed Constrained Zonotopic Method
- 1 Introduction
- 2 System Model and Problem Description
- 3 Main Results
- 3.1 Sequentail SMFing Framework
- 3.2 Extended Constrained Zonotopic Algorithm Design
- 4 Simulation Results
- 5 Conclusion
- References
- On Measuring Ship Height by Using Monocular Vision
- 1 Introduction
- 2 Height Measurement Method
- 2.1 Pinhole Model
- 2.2 Lens Distortion Correction
- 2.3 Camera Calibration
- 2.4 Preprocessing of Geospatial Data
- 2.5 Pitch Angle Correction
- 2.6 Determination of Ship Position
- 2.7 Calculation of Ship's Clearance Height
- 3 Overall System Design
- 3.1 System Framework
- 3.2 Software Development
- 4 Simulation
- 5 Experimental Verification
- 6 Conclusion
- References
- Deep Learning Based Fault Classification for Micro-thrusters of Drag-Free Spacecraft
- 1 Introduction
- 2 Model Building
- 2.1 Drag-Free Spacecraft Dynamics Model
- 2.2 Drag-Free Spacecraft Control Loops Model
- 2.3 Fault Model
- 3 Deep Learning Based Fault Classification Algorithm
- 3.1 Data Generation
- 3.2 Network Construction and Hyperparameter Selection
- 4 Numerical Example
- 5 Conclusion
- References
- Kalman Filter-Aware Air-Ground Cooperative System Target Pose with Noise
- 1 Introduction
- 2 Problem Statement
- 3 Main Results
- 3.1 Aruco Recognition and Pose Acquisition
- 3.2 Motion Control
- 3.3 System Summary
- 4 Experimental Results
- 5 Conclusion
- References
- A Gas Source Localization Method for Cooperative Robots Based on Bio-inspired Algorithm
- 1 Introduction
- 2 Problem Statement
- 2.1 Bio-inspired Gas Source Localization
- 2.2 Braitenberg Algorithm
- 3 The Proposed Algorithm
- 3.1 Maximum Coverage at the Initial Moment of the Gas Discovery Process
- 3.2 Multi-robot Cooperative Gas Source Location Algorithm Based on Braitenberg Strategy in Gas Source Tracking Process
- 4 Dynamic Priority-Based Multi-Mobile Robot Path Planning Collision Avoidance Method
- 5 Conclusion
- References
- Multi-robot Search Algorithm Based on Experiential Learning
- 1 Introduction
- 2 Problem Description
- 3 General Introduction of Proposed Algorithm
- 3.1 Boundary Exploration Rules
- 3.2 Dispersion Algorithm for Target Searching
- 3.3 Loop Search State
- 3.4 Obstacle Avoidance Method
- 4 Simulation Experiments
- 4.1 Platform and Parameter Settings
- 4.2 Scene Setup and Performance Analysis Methods
- 4.3 Comparison with GB Algorithm and BC Algorithm
- 5 Physical Experiment
- 6 Conclusion
- References
- Multi-unmanned System Collaboration with Communication Delay Under Sensory Constraints
- 1 Background and Significance of the Subject
- 2 Description of the Problem
- 2.1 System Modeling and Assumptions
- 2.2 Communications Latency Conditions
- 3 Numerical Simulation
- 4 Conclusion and Summary
- References
- Robust Multi-UAV System Collaboration under Limited Perception
- 1 Introduction
- 2 Problem Description
- 3 Algorithm Design
- 3.1 MPC-Based Formation Flight Controller
- 3.2 Perception Constraints
- 3.3 Distributed Model Predictive Control
- 3.4 Robustness Analysis
- 4 Numerical Simulation
- 4.1 Simulation Condition
- 4.2 Simulation Result
- 4.3 Robustness Analysis
- 5 Summary
- References
- Cooperative Search Strategy of Multi-UAVs Based on Hexagonal Grid
- 1 Introduction
- 2 Modeling of the Multi-UAVs Cooperative Search Problem
- 2.1 Search Environment Model
- 2.2 Pheromone Modeling of Environmental Dynamics
- 3 Cooperative Search Strategy Based on Hexagonal Grid
- 3.1 Multi-intelligence Markov Decision Modeling
- 3.2 Training Process Based on Reinforcement Learning
- 4 Simulation Results and Analysis
- 5 Conclusions
- References
- Real-Time Anomaly Traffic Data Identification Method for Connected Vehicles in V2X Communication
- 1 Introduction
- 1.1 Related Works
- 1.2 Contributions
- 2 System Structure
- 3 Methodology
- 3.1 Improved Random Forest (IRF) for Identifying Anomaly Data of CVs
- 3.2 Adaptive Kalman Filtering (AKF) for Identifying Anomaly Data of CVs
- 4 Experiments and Results
- 4.1 Environment Setup
- 4.2 Dataset
- 4.3 Evaluation Metrics
- 4.4 Results Analysis
- 5 Conclusion
- References
- Refraction-Based Dome Port Camera Calibration
- 1 Introduction
- 2 Related Works
- 2.1 Flat Port Calibration
- 2.2 Dome Port Calibration
- 3 Notations and Preliminaries
- 3.1 Symbol Description
- 3.2 Perspective Projection Model
- 4 Method Proposed
- 4.1 Spherical Equation in Camera Coordinate System
- 4.2 Derivation of Ray Paths
- 4.3 Nonlinear Optimization
- 5 Experiments and Results
- 5.1 Camera Calibration Experimental Procedure
- 5.2 Experimental Results
- 6 Conclusion
- References
- Intelligent Information Pushing and Induction for Hub Travelers Based on User Profiling Technology
- 1 Introduction
- 2 Hub Traveler User Profile System Construction
- 2.1 Research on User Profiling Techniques
- 2.2 Design of Hub Traveler User Profiling System
- 3 Intelligent Information Push and Guidance for Hub Passengers
- 3.1 Intelligent Information Push Technology
- 3.2 Intelligent Information Pushing with Optimized Utility on Passenger Side
- 3.3 Intelligent Information Push with Optimal Efficiency on the System Side
- 4 Applications
- 5 Research Summary
- References
- Research and Development of Auxiliary Tools for Network System Software Reliability Evaluation
- 1 Introduction
- 2 Fault Injection Management System
- 2.1 Fault Injection Platform
- 2.2 Platform Fault Agent
- 3 Experiment
- 4 Conclusion
- References
- A Cluster-Based Distributed State Estimation Method Utilizing Cooperative Target Tracking
- 1 Introduction
- 2 Preliminaries
- 2.1 Basic Kalman Filter
- 2.2 Cubature Kalman Filter
- 3 Cluster Distributed State Estimation Based on Interacting Mutiple Model-Cubature Information Filter
- 3.1 System Model
- 3.2 Centralized Fusion Estimation with Minimum Mean Square Error
- 4 Simulation
- 5 Conclution
- References
- Research on Unmanned Surface Vehicle Formation and Maintenance Control Based on Improved Extended State Observer
- 1 Introduction
- 2 Problem Formulation
- 2.1 Graph Theory
- 2.2 USV mathematical formulation
- 3 Control System
- 4 Simulation Results
- 5 Conclusion
- References
- Improved Image Matching Method Between SAR and Optical Based on Gaussian Vote by Ballot
- 1 Introduction
- 2 Improved SAR and Infrared Image Matching Algorithm
- 2.1 Interest Points and Feature Extraction
- 2.2 CSP-DenseNet Architecture
- 2.3 Gaussian Vote by Ballot
- 3 Experiments
- 3.1 Training Datasets
- 3.2 Training Processing
- 3.3 Experiments Results
- 4 Conclusion
- References
- Author Index
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