Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control : Swarm Decision and Planning Technologies / edited by Xiaoduo Li, Xun Song, Yingjiang Zhou.

Format:

Book

Author/Creator:

Li, Xiaoduo.

Contributor:

Song, Xun.

Zhou, Yingjiang.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 1207

Language:

English

Subjects (All):

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.

Local Subjects:

Control, Robotics, Automation.

Signal, Speech and Image Processing.

Computational Intelligence.

Multiagent Systems.

Systems Theory, Control.

Physical Description:

1 online resource (714 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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.

Contents:

Intro

Contents

DeepTQ: Predictive TSN Switch Queue Length Based on Deep Learning

1 Introduction

2 Background

2.1 TSN

2.2 SDN

3 DeepTQ

3.1 Feature Selection Phase

3.2 Model Prediction Phase

4 Implementation and Evaluation

4.1 Datasets

4.2 Setting

4.3 Measure

4.4 Results

4.5 Ablation Study

5 Conclusion and Future Work

References

Multiplayer Pursuit-Evasion Differential Games with Uncertain Perceptions: A Cumulative Prospect Theory Approach

2 Preliminaries

2.1 MPE Differential Games

2.2 Probabilistic Decision-Making

2.3 Problem Formulations

3 The Optimal and Worst Policies Under Deterministic Perceptions

4 The Optimal Perceived Policy Under Uncertain Perceptions

4.1 CPT-Based MPE Differential Game

4.2 CPT-NE

5 A Numerical Example

6 Conclusion

Multi-aircraft Path Planning Method for Cooperative Mission

2 Problem Modeling

2.1 Collaborative Path Planning Strategy

2.2 Cooperative Constraint Model

2.3 Cooperative Path Cost Model

3 Collaborative A* Path Search Algorithm

3.1 Dynamic Variation Cooperative Voyage Model

3.2 Collaborative A* Search Algorithm

4 Simulation Analysis

5 Conclusion

Multi-agent Reinforcement Learning Algorithm Based on Role Parameter Sharing

2 Analysis of Multi-agent Reinforcement Learning Problems

2.1 Homogenization in Multi-agent Reinforcement Learning

2.2 Intrinsic Rewards in Multi-agent Reinforcement Learning

3 Multi-agent Reinforcement Learning with Role Parameter Sharing

3.1 Algorithm Architecture

3.2 Overall Optimization Objective

4 Experiments

4.1 Platform Configuration

4.2 SMAC Environment Experiment and Analysis

References.

Research on Cooperative Path Planning and Formation Control for Multiple UAVs

2 CPP Design

2.1 CMS-PSO Algorithm

2.2 Cost Function Design

3 Formation Controller Design

3.1 UAV Formation Model

3.2 Nonlinear Tracking Error Model of UAV Formation

3.3 Formation Controller Design

3.4 Proof of Stability

An Improved Path Planning Algorithm for Heterogeneous Marine Unmanned Systems

2 The DSACC Algorithm

2.1 The Dynamic Safety Area of Agents

2.2 The Communication Distance Constraints of Heterogeneous Marine Unmanned System

2.3 The Different Sea Scene Based Communication Constraint Center Switching Algorithm

2.4 The Improved A* Path Planning Algorithm Based on DSACC

3 Simulations

4 Conclusion

Application of Generative Artificial Intelligence GPT in Unmanned Aircraft Systems

2 The Main Applications of Generative Artificial Intelligence in Unmanned Aircrafts

2.1 Intelligent and Reliable Design, Development and Production Plan

2.2 Intelligent Situational Awareness of Unmanned Aircraft Systems

2.3 Real-Time and Efficient Intelligent Decision-Making

3 Basic Requirements for Deploying Generative Artificial Intelligence Technology in Unmanned Aircrafts

3.1 Building Basic Software and Hardware Capability of Intelligent Technology

3.2 Intelligent Model Based on Large Scale Database

4 Prospects for Intelligent Unmanned Aircraft Systems

Multi-agent Formation Optimization Obstacle Avoidance Tracking Control Based on Control Barrier Function

2 Consensus-Based Formation Control

3 Optimized Obstacle Avoidance Based on HOCBF

3.1 Safety Constraint

3.2 Other Constraints

3.3 Quadratic Programming.

4 Numerical Simulation

4.1 Trajectory

4.2 Obstacle Avoidance

4.3 Tracking Errors

Low-Energy Round-Trip Transfer Orbit of DRO-NEA

2.1 The Restricted Sun-Earth-Moon Four-Body Problem

2.2 DRO Service Station and Near-Earth Asteroid

3 Design Method for Low-Energy Transfer Trajectories

3.1 Lambert Orbit of Earth-NEA in HCI Coordinate

3.2 Parameterization of Velocity Impulse

3.3 Database Creating and Trajectory Patching

4 Trajectory Solution

Appendix: Ephemerides of the Earth, the Moon and the Asteroid "1996 SK"

Navigational Situation Prediction Based Multi-USV Cooperative Hunting Algorithm

2 Navigational Situation

3 Hunting Condition

4 Dynamic Prediction of Target Trajectory

4.1 Moving Target Trajectory Prediction Principle

4.2 Target Prediction Model of Single USV Hunting

4.3 LSM-NSC Algorithm

5 Simulation Experiment

Motion Planning and Tracking Control via Basis Function for Swarm Underactuated Robots Based on PSO Algorithm

2.1 Dynamics Model

2.2 Underactuated Constraint Analysis

3 Motion Planning

3.1 Trajectories of Basis Function Superposition

3.2 Trajectory Parameter Optimization

4 Controller Design

5 Simulations

6 Conclusions

Control and Active and Safety Path Planning of Land-Air Amphibious Unmanned Platform

2 Dynamics Analysis of Tracked and Ducted Fan Amphibious Platform

2.1 Kinematic Analysis of Tracked Traveling System for Land-Air Amphibious Platforms

2.2 Controller Design of Land-Air Amphibious Platform

3 Active Safety Distance Model

3.1 Active Safety Distance Model Based on Driving Motor Braking Characteristics.

3.2 Active Safety Distance Modeling in Flight

4 Active Safety Planning Algorithm

4.1 Active Safety Planning Algorithm in Flight

4.2 Active Safety Planning Algorithm in Driving Conditions

5 Experimental Results and Analysis

Trajectory Planning Method of Spacecraft Cluster Based on Geodesic

2 Problem Formulation and Preliminaries

3 Cluster Configuration Transformation Trajectory Planning Method

4 Simulation

Swarm Intelligence Electromagnetic Domain Countermeasure System Based on Deep Reinforcement Learning

2 Swarm Intelligent Electromagnetic Domain Countermeasure System

2.1 Research Background

2.2 System Framework

2.3 Intelligent Algorithm

3 Key Technologies

3.1 Swarm Agent Electromagnetic Airspace and Frequency Domain Allocation Technology

3.2 Swarm Agent Cognitive Electronic Warfare Technology

3.3 Cooperative Allocation Technology of Electromagnetic Resources for Swarm Agents

3.4 Electromagnetic Behavior Interpretation and Construction Techniques

4 Scene Design and Experimental Verification Analysis

5 System Application Scenario Outlook

6 Epilogue

Potential Function-Based Collision Avoidance Control for Unmanned Surface Vehicles with Unknown Parameters

2 Problem Formulation

2.1 USV Mathematical Model

2.2 Safety Zone Constraints

3 Control Development

3.1 Potential Function for Safety Zone Constraints

3.2 Adaptive Collision Avoidance Controller Design

A Review of Target Association Methods

2 Target Association Method Based on Location Information

2.1 Target Association Method Based on Nearest Neighbor

2.2 Target Association Method Based on Probabilistic Data Association.

2.3 Target Association Method Based on Joint Probabilistic Data Association

3 Target Association Method Based on Attribute Information

3.1 Target Association Method Based on Target Amplitude Characteristics

3.2 Target Association Method Based on Target Frequency Characteristics

3.3 Target Association Method Based on Target Range Image Characteristics

4 Target Association Method Based on Formation Configuration Information

5 Existing Problems and Further Research Directions

A Combat Intention Reasoning Method for Warship Formation Targets Based on Deep Learning

2 Problem Analysis

2.1 Problem Description

2.2 Target Feature Space and Intention Space Analysis

3 Target Intention Inference Algorithm of Ship Formation Based on Deep Learning

3.1 LSTM Network Model

3.2 Algorithm Model Design

3.3 Algorithm Step

4 Simulation Results

5 Analysis of Simulation Results

6 Summary

Cluster Collaborative Search Method Based on Dynamic Adjustment of Parameters

2 Problem Description

2.1 Target Existence Probability

2.2 Environmental Uncertainty

2.3 Collision Avoidance Between UAVs

3 Skip Grid Decision Method

3.1 Jump Grid Number Definition

3.2 Mobility constraint

4 Search Parameters Dynamic Selection Method

5 Simulation Result

Multi-robot Collaborative Exploration Based on Adaptive Sliding Window and Extended RRT

2 The Related Work

2.1 Single-robot Autonomous Exploration

2.2 Multi-robot Collaboration

3 Methodology

3.1 Adaptive Sliding Windows

3.2 Sampling and DVS-RRT Extension

3.3 Collaborative Assignment

4.1 Experimental Setup

4.2 Evaluation Indicators

4.3 Simulation Experiments

5 Conclusions and Future Work

Collaborative Path Planning Study of Intelligent Munitions Formations.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Li, Xiaoduo Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control

ISBN:

9789819733361

OCLC:

1441141278