Search Results - "Yang, Rennong"
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1
A hierarchical reinforcement learning method for missile evasion and guidance
Published in Scientific reports (07-11-2022)“…This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which…”
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Application of Deep Reinforcement Learning in Maneuver Planning of Beyond-Visual-Range Air Combat
Published in IEEE access (2021)“…Beyond-visual-range (BVR) engagement becomes more and more popular in the modern air battlefield. The key and difficulty for pilots in the fight is maneuver…”
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Self-Paced Multi-Scale Joint Feature Mapper for Multi-Objective Change Detection in Heterogeneous Images
Published in Remote sensing (Basel, Switzerland) (01-06-2024)“…Heterogeneous image change detection is a very practical and challenging task because the data in the original image have a large distribution difference and…”
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Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles
Published in Frontiers in neurorobotics (10-01-2023)“…A system with multiple cooperating unmanned aerial vehicles (multi-UAVs) can use its advantages to accomplish complicated tasks. Recent developments in deep…”
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Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning
Published in Drones (Basel) (01-01-2024)“…Dedicated to meeting the growing demand for multi-agent collaboration in complex scenarios, this paper introduces a parameter-sharing off-policy multi-agent…”
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Exoatmospheric Evasion Guidance Law with Total Energy Limit via Constrained Reinforcement Learning
Published in International journal of aeronautical and space sciences (01-10-2024)“…Due to the lack of aerodynamic forces, the available propulsion for exoatmospheric pursuit-evasion problem is strictly limited, which has not been thoroughly…”
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Deep Reinforcement Learning for UAV Intelligent Mission Planning
Published in Complexity (New York, N.Y.) (01-01-2022)“…Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles. In this paper, an…”
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Precise Mission Process Control Based on a Novel Dual-Code Group Network Plan Diagram
Published in Applied sciences (01-07-2024)“…Different from an ordinary project, a large group mission like the unmanned aerial vehicle (UAV) swarm cooperative strike mission is performed by multiple…”
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Unmanned Aerial Vehicle Swarm Cooperative Decision-Making for SEAD Mission: A Hierarchical Multiagent Reinforcement Learning Approach
Published in IEEE access (2022)“…Unmanned aerial vehicle (UAV) swarm cooperative decision-making has attracted increasing attentions because of its low-cost, reusable, and distributed…”
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10
Layer-dependent excellent thermoelectric materials: from monolayer to trilayer tellurium based on DFT calculation
Published in Frontiers in chemistry (12-10-2023)“…Monoelemental two-dimensional (2D) materials, which are superior to binary and ternary 2D materials, currently attract remarkable interest due to their…”
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Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms
Published in Drones (Basel) (01-03-2023)“…In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches…”
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12
Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements
Published in IET radar, sonar & navigation (25-09-2024)“…Abstract Airborne warning and control systems (AWACS) serve as critical command and control centres in air combat operations, making them prime targets for…”
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13
Aircraft human‐machine interaction assistant design: A novel multimodal data processing and application framework
Published in IET control theory & applications (28-10-2024)“…Abstract During aircraft operations, pilots rely on human‐machine interaction platforms to access essential information services. However, the development of a…”
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Aerial combat maneuvering policy learning based on confrontation demonstrations and dynamic quality replay
Published in Engineering applications of artificial intelligence (01-05-2022)“…Unmanned Combat Aerial Vehicles (UCAVs) is becoming a crucial platform to perform dangerous missions with the ability of autonomy and intelligence in making…”
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15
Applying deep bidirectional LSTM and mixture density network for basketball trajectory prediction
Published in Optik (Stuttgart) (01-04-2018)“…Data analytics helps basketball teams to create tactics. However, manual data collection and analytics are costly and ineffective. Therefore, we applied a deep…”
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Unsupervised Contrastive Learning for Automatic Grouping of Aerial Swarms
Published in IEEE transactions on vehicular technology (01-05-2024)“…The self-organization capabilities of massive aerial swarms pose challenges to conventional methods of grouping aerial targets. These traditional approaches…”
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From Behavior to Natural Language: Generative Approach for Unmanned Aerial Vehicle Intent Recognition
Published in IEEE transactions on artificial intelligence (2024)“…This paper introduces a novel cross-modal neural network model that aims to convert long-term temporal behavior data into natural language to achieve UAV…”
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Visual Range Maneuver Decision of Unmanned Combat Aerial Vehicle Based on Fuzzy Reasoning
Published in International journal of fuzzy systems (01-02-2022)“…In view of the high dynamic, uncertain and time-varying characteristics of unmanned combat aerial vehicle (UCAV) air combat situation, a maneuver decision…”
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Aircraft Maneuver Intelligent Recognition: An End-to-end Regularized Autoencoder and SVM Approach
Published in 2022 IEEE International Conference on Unmanned Systems (ICUS) (28-10-2022)“…Aircraft maneuver recognition is a key issue in unmanned aerial vehicle (UAV) intelligent air combat. Aiming at inefficiency of high-dimensional time-series…”
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Conference Proceeding -
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Trajectory Prediction of Target Aircraft Based on HPSO-TPFENN Neural Network
Published in Xibei Gongye Daxue Xuebao (01-06-2019)“…Trajectory prediction plays an important role in modern air combat. Aiming at the large degree of modern simplification, low prediction accuracy, poor…”
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