| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910865271003321 |
|
|
Autore |
Yu Jianglong |
|
|
Titolo |
Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Perception and Navigation Technologies / / edited by Jianglong Yu, Yumeng Liu, Qingdong Li |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
|
|
|
|
|
|
|
ISBN |
|
9789819733323 |
9789819733316 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2024.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (700 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1206 |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Automatic control |
Robotics |
Automation |
Signal processing |
Computational intelligence |
Multiagent systems |
System theory |
Control theory |
Control, Robotics, Automation |
Signal, Speech and Image Processing |
Computational Intelligence |
Multiagent Systems |
Systems Theory, Control |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
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. |
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
|
|
| |