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检索条件"机构=Science and Technology on Complex System Control and Intelligent"

共 2201 条记录，以下是131-140 订阅

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Low-Light Image Enhancement Method for Consistency Judgment of Multi-view Multi-target for UAV Swarm 7th

Low-Light Image Enhancement Method for Consistency Judgment ...

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Li, WeiXue Song, Chuang Hao, MingRui Zhang, Hang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819733392

To address the challenges posed by low-light images in multi-drone detection tasks, which lead to significant differences in target image features across different perspectives and poor accuracy in target association under multiple viewpoints, this paper proposes an enhanced network architecture based on MIRNet for low-light image enhancement. The goal is to improve the stability of target features in multi-view scenarios. By incorporating Sobel convolution to capture target edges and texture features, and by designing a residual contextual block combined with an attention mechanism and a pixel loss function that emphasizes the central region, the model not only acquires richer features but also focuses more on the central region's target characteristics. Experimental results demonstrate that the proposed approach effectively enhances image brightness, contrast, and target texture, exhibiting substantial advantages in both objective and subjective evaluation metrics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Image enhancement

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Combat Intention Recognition of Aerial Battlefield Targets Based on LSTM 3rd

Combat Intention Recognition of Aerial Battlefield Targets B...

引用

3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Xu, Hongfeng Zhao, Jiajia Zhang, Hang Jiang, Jixiang Chen, Linxiu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819710867

In the course of military operations, the battlefield situation changes rapidly, and the combat time is fleeting. How to quickly and accurately identify the enemy’s combat intention is one of the important preconditions to ensure the commander’s correct command decision and obtain the initiative in the battlefield. In this paper, aiming at the problems of low accuracy and insufficient algorithm robustness of traditional target combat intention recognition methods in air battlefield, a combat intention recognition method based on LSTM is proposed according to the characteristics of sequence and multi-dimension of target characteristic data. Based on the historical and current state characteristics, electromagnetic characteristics and action characteristics of the target obtained by the sensor, the method uses the LSTM network to build the target combat intention recognition model, and learns the changes of the target characteristics through the network model to realize the target combat intention recognition. Simulation results show that the proposed method can effectively improve the accuracy of target combat intention recognition. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Military operations

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Target Tracking Method Based on LSTM-EKF 1

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Xu, Hongfeng Zhao, Jiajia Zhang, Hang Jiang, Jixiang Chen, Linxiu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

With the development of science and technology, target tracking technology has been widely used in many fields. Through target tracking technology, the accurate estimation of target state can be obtained, and the perception ability can be effectively improved. However, due to the increasing maneuvering ability of the target, the traditional target tracking algorithm is more and more difficult to meet the requirements of maneuvering target tracking. This article in view of the traditional filtering algorithm based on bayesian theory problems of nonlinear error model, in combination with the advantages of EKF and deep learning, introducing the idea of hybrid data model, puts forward the algorithm of target tracking based on LSTM - EKF, and design a mathematical simulation experiment on the performance of the algorithm is verified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Target tracking

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Design of Cooperative Combat Task Architecture for Unknown Wide Area Cluster Reconnaissance and Strike

Design of Cooperative Combat Task Architecture for Unknown W...

引用

International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Bu, Yunong Chi, Qingxi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811581540

In the face of the requirements of information warfare in the future battlefield under the condition of high-intensity confrontation, cluster warfare has become the main trend of the development of some weapons and equipment. This makes us need to explore the cooperative operation mechanism of weapon equipment cluster, realize the rapid response of the cluster to the change of battlefield situation under the uncertain operation environment, complete the OODA cycle of operation, and improve the autonomous operation ability of the cluster. This paper takes the unknown wide area multi-target cooperative reconnaissance and strike task as the operational scenario, combs the task flow, function composition, network structure and data interaction relationship. Based on the task constraint, the architecture of cluster cooperative combat task is designed. The cooperative OODA closed-loop is preliminarily realized. It provides the basis for further exploring the overall technology of cooperative combat mission architecture. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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Multi-UAV Cooperative Path-Planning under complex Threat Environment 42

Multi-UAV Cooperative Path-Planning under Complex Threat Env...

引用

42nd Chinese control Conference, CCC 2023

作者： Liu, Zhenchang Liu, Yuting Zhao, Hongyin Lu, Hanchen Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789887581543

This paper proposes a cooperative path-planning method based on multi-Dubins path segments to meet the penetration requirements of UAVs in a complex threat environment. A pruning strategy is used in path-planning to sift path segments, and the diversity of threat avoidance paths is considered under a reasonable calculation amount. A threat intrusion strategy is designed for no safety path condition, which makes the cooperative path-planning method have excellent robustness. A cooperative path optimization method based on particle swarm optimization is adopted for the path length and collision avoidance requirements. The simulation results show that the UAV cooperative paths can avoid the threat area under any starting and ending points, and path lengths are close to the expected length. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Unmanned aerial vehicles (UAV)

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Distributed Cooperative Search Based on DRH-NSGA Under Communication Constraint

Distributed Cooperative Search Based on DRH-NSGA Under Commu...

引用

International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Si, Jia Shuai Cheng, Jin Hao, Ming Rui Liu, Zhen Chang Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811966125

For unmanned aerial vehicle (UAV) cooperative search mission under communication distance limitation environment, considering that the computation scale of rolling time domain optimization increases exponentially with the change of predicted steps and the problem that searching performance metrics are difficult to be selected, the distributed receding horizon non-dominated sorting genetic algorithm (DRH-NSGA) is proposed, and the distributed receding horizon (DRH) process is optimized by non-dominated sorting genetic algorithm (NSGA),and the cooperative search problem in dynamic environment is solved. Firstly, the motion and sensor models of UAV are established. Considering the possibility of interference or communication interruption during UAV communication, the communication interruption probability is added based on the communication distance constraint. In this paper, the environment awareness map is constructed, considering the motion characteristics of time-sensitive targets, and based on the updating of target probability by using Bayesian theory, the updating of time-sensitive target prediction transition probability is added to improve the accuracy of moving target existence probability map. Finally, the search performance index is designed reasonably, and the RH framework is used to optimize the search path. The simulation results show that the distributed cooperative search algorithm based on DRH-NSGA can shorten the single step planning time while ensuring the convergence speed and ensure the real-time decision-making of UAV search. At the same time, it can effectively take into account the search of moving targets after covering the search area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Antennas

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Distributed Event-Triggered Cooperative Formation control of Fixed-Wing UAV 1

引用

International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Yue, Keyuan Yuan, Jianquan Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789811694929

ISBN: (纸本)9789811694912

In order to save the communication bandwidth between the fixed-wing unmanned aerial vehicles (UAVs), a cooperative formation control algorithm based on event-triggered communication mechanism is proposed in this paper. The aircraft uses a state estimator to estimate the states of other aircrafts, and when the state of the aircraft itself exceeds a certain threshold, its state information is sent to the neighboring aircraft through the data link, so that the neighboring aircraft updates the states of its estimator. Taking the established autopilot model with a 6-dof inner-loop attitude stabilization loop as the formation control object, a multi-aircraft outer-loop formation controller is designed based on the consensus algorithm. Through numerical simulation, under the condition of ensuring certain control performance of the aircraft cluster, the communication between aircrafts is reduced and bandwidth resources are saved, which verifies the effectiveness of the proposed algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fixed wings

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Cooperative Formation control of Fixed-Wing UAV Based on L1 Guidance Law Considering Collision Avoidance 7th

Cooperative Formation Control of Fixed-Wing UAV Based on L1 ...

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Yue, Keyuan Hao, Mingrui Zhen, Yan Liu, Xinyu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819733392

This article proposes a formation control scheme based on L1 guidance law for fixed wing unmanned aerial vehicle clusters while considering collision avoidance issues between them. The fixed wing aircraft cluster adopts L1 guidance and tracking method to track their respective desired waypoints. By controlling the speed of the fixed-wing UAVs, the entire cluster forms a formation configuration on their individual desired trajectories. During the formation and transformation processes, an improved artificial potential field method is proposed based on the characteristics of fixed-wing UAVs to achieve collision avoidance between clusters. The effectiveness of the proposed approach is validated through numerical simulations based on a six-degree-of-freedom nonlinear UAV model, providing a reference for practical engineering applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Fixed wings

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A Formation control Method for Leader-Follower Aircraft Based on Particle Swarm Optimization 3rd

A Formation Control Method for Leader-Follower Aircraft Base...

引用

3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Zhao, Yuxia Quan, Yanli Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing100074 China

ISBN: (纸本)9789819710829

As the defense system of military powers is becoming more and more complete, improving the aircraft’s penetration capabilities is particularly critical. Formation control is an effective way to improve the ability of penetration. Based on an uncontrollable situation, this paper proposes an angle-based formation control strategy for multiple aircraft. The leader’s trajectory inclination angle and trajectory deflection angle are used as the states of consistency, and the tilt angle is used as the control volume, to design the PI controller of the follower. The parameter optimization design is performed through the particle swarm optimization (PSO) algorithm. The simulation results show that the proposed angle-based formation control method can be well achieved and maintain the formation. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Aircraft

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A Review of Target Association Methods 1

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Xu, Hongfeng Zhao, Jiajia Zhang, Hang Jiang, Jixiang Chen, Linxiu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

With the continuous development of information technology, target association technology has been more and more widely used in military and civilian fields. How to achieve effective and reliable target data association has always been a difficult and hot spot in the field of target tracking. In this paper, the research status of target association technology is summarized, the existing target association algorithm is sorted and summarized according to the method principle, and the existing problems in the research of target association technology are analyzed, and the further research direction is prospected. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Target tracking

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