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第三十四届中国控制会议

作者： ZHAO Dong BAI Yong-qiang Department of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

Fast single image dehazing has been a challenging problem in many fields, such as computer vision and real-time applications. Recently, many dehazing algorithms have been proposed based on the dark channel prior(DCP). However, these algorithms aim to improve the refinement of the raw transmission map, while ignore the computational complexity of DCP ***, this paper proposes a new technique for fast single image haze removal, which achieves a good tradeoff between the dehazing performance and the computational complexity. We first decompose the observed haze image into a coarse image and a detail image using Gaussian-Laplacian pyramid. Then, the coarse image is dehazed by Dark Channel Prior and Guided filter(GDCP). For the size of the coarse image is 1/4 of the original image, the computational complexity is reduced ***, the recomposed image is blurred, since the detail image is still haze. So, we employ an unsharp filter to sharpen the blurred recomposed image. Experimental results show that the proposed dehazing technique effectively removes haze, and significantly reduces the computational complexity by 69.59% on average, compared with traditional GDCP algorithm.

关键词： single image dehazing,image restoration,dark channel prior,image pyramid,unsharp masking

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Analysis and Testing of Delay in HLA-based Distributed Simulation system

Analysis and Testing of Delay in HLA-based Distributed Simul...

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第25届中国控制与决策会议

作者： Chen Chen Lu Chao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467355339

Time is a significant concept in distributed *** the increment of simulation system scale, working efficiency of simulation system will go down very sharply due to the restrictions of time management tactics and time sequence coupling. Therefore, it is necessary to study the characteristics of delay in simulation system to improve its working effeciency. Aiming at HLA-based distributed simulation system, causes of simulation delay is analysed and principles of delay testing is explained. A method which employs synchronization point setting and an effective wall clock time querying approach is put forward. Statistics and analysis of message interaction delay is executed on the software platform of pRTI 1.3 version. The measurement of delay lays an important data foundation for time management algorithms.

关键词： Distributed Simulation system, Delay Testing, High Level Architecture, Synchronization Point.

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Robust composite control of telescopic wing morphing aircraft with control allocation

Robust composite control of telescopic wing morphing aircraf...

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2021 China Automation Congress, CAC 2021

作者： Wang, Zijian Hou, Mingzhe Hao, Mingrui Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781665426473

In this paper, the problem of anti-disturbance, anti-saturation and fixed-time control for a class of telescopic wing morphing aircraft is studied. The telescopic wing morphing aircraft treats the variable wingspan as an extra control input to construct the dynamic model of the morphing-aided maneuver. According to the model characteristics, the controller design is divided into two loops: the speed loop and the attitude loop. Through a fixed-time continuous feedback control scheme, fixed time of the tracking reference trajectory is ensured. By combining the integral sliding mode control (ISMC) method with super-twisting control (STC), the uncertainties of aerodynamic coefficients and external disturbances are overcome. In addition, the anti-saturation problem of the aircraft actuator is solved by the initial solution correction method based on Null-space augmented solutions. The simulation result shows that the designed algorithm has great tracking performance, while the robustness and anti-saturation performance are guaranteed. © 2021 IEEE

关键词： Robust control

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The SDRE based Second Order Integral Sliding Mode control for Attitude of Reentry Vehicle

The SDRE based Second Order Integral Sliding Mode Control fo...

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第三十二届中国控制会议

作者： GENG Jie SHENG Yongzhi LIU Xiangdong WANG Liang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781479900305

In this paper,a state dependent Riccati equation-based second order integral sliding mode control(SSOISMC) algorithrn is proposed for the reentry vehicle with a strong conpling,nonlinearity and ***,the state dependent Riccati equation(SDRE) controller is developed to approach the attitude controller for the nonlinear reentry vehicle without uncertainties. Then the second order integral sliding mode control theory is proposed to combine sliding mode with SDRE,and it is applied to reentry vehicle with parameter variations or external *** achievement of the second order sliding phase is *** the proposed control law,the optimal performance index is achieved and the uncertainties are rejected,furthermore, the chattering is ***,simulation is made through the assumption that aerodynamic parameters and atmospheric density are *** validity and robustness of the proposed strategies are verified by simulation results.

关键词： Flight vehicle control State dependent Riccati equation(SDRE) Second order integral sliding mode

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Research on the technology of cooperative dual-station position based on passive radar system 3

Research on the technology of cooperative dual-station posit...

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3rd International Conference on Unmanned systems, ICUS 2020

作者： Siting, Peng Qian, Zhao Yichao, Ma Jixiang, Jiang The Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728180250

When the aircraft adopt passive sensors to detect external conditions, the detection information we can directly get is the aspect Angle of target. However, the position, velocity, acceleration and other information of target need to be calculated through the relevant algorithm estimates. It need more passive sensor to work together in order to get more the target location information, because a single passive sensor can only give the arriving orientation and time of target signal. In view of the complex weather and sea wave situation at marine surrounding, a Cooperative dual-station positioning technology based on passive sensors is studied, and a Cooperative filtering method based on the theory of consensus is adopted to verify the algorithm performance and engineering significance through relevant simulation. © 2020 IEEE.

关键词： Kalman filters

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DPNet: Dynamic Pooling Network for Accurate and Efficient Size-Aware Tiny Object Detection

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IEEE Internet of Things Journal 2025年

作者： Gong, Luqi Chen, Haotian Chen, Yikun Yao, Tianliang Li, Chao Zhao, Shuai Han, Guangjie Beijing University of Posts and Telecommunications School of Computer Science Beijing China Zhejiang Lab Research Center for Space Computing System Hangzhou China Southwest Jiaotong University SWJTU-LEEDS Joint School Chengdu China LTD Guangdong Zhiyun City construction Technology Co Zhuhai China Tongji University College of Electronic and Information Engineering Department of Control Science and Engineering Shanghai China Hohai University Key Laboratory of Maritime Intelligent Network Information Technology Ministry of Education China

In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, particularly for small objects. However, simply enlarging images significantly increases computational costs and the number of negative samples, severely degrading detection performance and limiting its applicability. This paper proposes a Dynamic Pooling Network (DPNet) for tiny object detection to mitigate these issues. DPNet employs a flexible down-sampling strategy by introducing a factor (df) to relax the fixed down-sampling process of the feature map to an adjustable one. Furthermore, we design a lightweight predictor to predict df for each input image, which will be used to decrease the resolution of feature map in backbone. Thus, we achieve input-aware down-sampling. We design an Adaptive Normalization Module (ANM) to make a unified detector well compatible with different dfs. At the same time, we also design a guidance loss to supervise the predictor’s training. DPNet realizes the dynamic allocation of computing resources to trade off detection accuracy and efficiency through this. Experiments on the TinyCOCO and TinyPerson datasets show that our DPNet can save over 35% and 25% GFLOPs, respectively, while maintaining comparable detection *** code will be made publicly available. © 2014 IEEE.

关键词： Object detection

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Observability Enhancement of the Target Tracking Model Based on Infrared Semi-strapdown Seeker

Observability Enhancement of the Target Tracking Model Based...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Siting, Peng Qian, Zhao Yichao, Ma Cheng, Xu Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728137926

As an important device for target interception, The seeker is used to search, recognize and track the target autonomously. Infrared semi-strapdown seekers are widely used in applications due to their low cost and small size. However, one non-negligible disadvantage of semi-strapdown infrared seekers is that the observability of target tracking model is poor, especially for the interception of high-speed maneuvering weapons. In this paper, the target tracking model ( i.e., the filtering estimation model) based on the infrared simi-strapdown seeker is established. The observability of the target tracking model is analyzed and the evaluation method of the observability is studied. Simulation results show that the observability of the filtering estimation model can be improved by increasing the relative motion between missile and target which results in faster changes of the line-of-sight (LOS) angle. According to the results on the observability analysis, the desired trajectory is obtained through the design of proper guidance law. Nonlinear filtering algorithm is also introduced for the trajectory design. Simulation experiments are conducted for the integrated filtering and guidance, and simulation results illustrate the effectiveness of the proposed observability enhancement method. © 2019 IEEE.

关键词： Observability

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Failure mode and effects analysis based on intuitionistic fuzzy sets and evidential correlation coefficient

Failure mode and effects analysis based on intuitionistic fu...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Zhang, Hang Huang, Chan Lu, Mingsheng Dong, Xiaofei School of Software Northwestern Polytechnical University Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Xi'an Beijing China Northwestern Polytechnical University School of Electronics and Information Xi'an China Agent Cooperation Laboratory Science and Technology on Complex System Control and Intelligent Beijing China

ISBN: (纸本)9781728137926

As an effective implement, failure mode and effects analysis (FMEA) is widely applied in the security of system for practical application. Nowadays, many methods determine the order of fault mode by a crisp risk priority number (RPN). However, these methods exist several shortcomings, for instance, the correlation of the assessments given by team members are not fully considered. In this article, a new method for risk assessment and sequence for failure modes in FMEA is proposed on account of the D-S evidence theory and the evidential correlation coefficient. By using the proposed approach, the weights of team members for each failure mode and risk factor is obtained. Then the weighted assessments are used to perform the aggregation process by Intuitionistic fuzzy weighted averaging (IFWA) operator. A classic application regarding risk assessment is used to verify the effectiveness of the proposed method. © 2019 IEEE.

关键词： Failure modes

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Motion Parallax Estimation for Ultra Low Altitude Obstacle Avoidance

Motion Parallax Estimation for Ultra Low Altitude Obstacle A...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Wang, Changqing Liang, Xinkai Zhang, Shan Shen, Chao Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728137926

By making full use of the curvature of the earth and ground clutter, the ultra-low altitude flight technique can significantly increase the difficulty of detecting and intercepting unmanned aerial vehicles (UAVs), and improve their penetration probabilities. However, unpredicted static/dynamic obstacles seriously threaten the flight safety of the ultra-low altitude UAVs. Therefore, fine autonomous spatial perception capability is essential for ultra-low altitude UAVs with limited loads and computing resources to avoid obstacles. To solve the difficult problem of spatial perception for ultra-low altitude obstacle avoidance, a motion parallax estimation algorithm is proposed by combing the deep learning and the epipolar geometry in this paper. By utilizing the deep neural network, the end-to-end mapping relationship from sequence images to depth values of pixels is constructed for spatial perception. At the same time, to overcome the interference caused by the image consistency hypothesis, the loss function is constructed based on the 3D geometric information of the scene rather than the re-projection error between images. Finally, the proposed algorithm is evaluated on the KITTI dataset and infrared image dataset to verify its effectiveness and generalization. © 2019 IEEE.

关键词： Deep neural networks

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Influence of aircraft's maneuver flight performance parameters on within visual range air combat effectiveness 3

Influence of aircraft's maneuver flight performance paramete...

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3rd International Conference on Unmanned systems, ICUS 2020

作者： Zhen-Ning, Zhang Jia-Ning, W.E.I. Zhen-Biao, T.U. Fei-Fei, L.I. Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728180250

The fighter's war ability is closely related to its maneuver ability. The maneuver measurement index of the new generation fighter changed greatly compared to the traditional rules. This essay firstly introduced the modern fighter's maneuver performance quantized index. According to the built simulation system, take two typical third generation fighter models as the confront sides, built fuzzy control intelligent decision model based on the genetic algorithm, simulated the one-to-one air combat confront process. Under such circumstances, adjusted the maneuver flight performance parameters reasonable and got the confront simulation results, then analyzed and evaluated the influence of the parameterad justed within visual range air combat effectiveness, which provided reference significance to air combat flight's original design and maneuver flight performance parameter optimization. © 2020 IEEE.

关键词： Fuzzy control

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