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

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Research on Cooperative Multi-constraint Guidance Law for Leader-Follower Multi-aircraft 21st

Research on Cooperative Multi-constraint Guidance Law for Le...

引用

21st Asia Simulation Conference, AsiaSim 2022

作者： Xin, Du Guijie, Diao Zhe, Liu Ningbo, Gong Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811991974

In this paper, the design and optimization of multi-aircraft cooperative guidance law with multi-constraint is studied for high-speed and large maneuvering targets. Firstly, the motion of the aircraft and the target are analyzed in the inertial coordinate system. The relative motion model and the corresponding state equation are established in a plane. Then, based on the sliding mode control method, the multi-constrained ballistic forming guidance law of the lead aircraft is designed to make it hit the target in multiple dimensions. Finally, the aircraft-to-target range and line-of-sight angle of the aircraft are selected as the state variables to be controlled, and the multi-constrained cooperative guidance law is designed for the follow aircraft. So that the motion of follow aircraft can track the lead aircraft accurately, the controlled state variables converges quickly, and hit the target at the same time until the end. The simulation results show that the leader-follower cooperative guidance law designed in this paper is effective for intercepting high-speed and large maneuvering targets. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sliding mode control

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Research on Multi-radar Anti-jamming Strategy Allocation Method Under Small Risk Based on Game Theory 7th

Research on Multi-radar Anti-jamming Strategy Allocation Met...

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

作者： Li, Wen Pei, Hu-Cheng Qu, Guang-Zhou Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789819733354

In order to counteract the impact of passive jamming in unmanned airborne radar for search and attack missions against ships at sea, and to enhance the overall striking effectiveness at the UAV swarm level, a method is proposed to take the jamming scenario formed by the release of jamming from the ship as its set of game strategies, so as to construct a static zero-sum game model of the ship and UAV swarm, and then to take the mixed-strategy Nash equilibrium solution of the game as the method for the allocation of multi-radar anti-jamming strategies in the UAV swarm, and further gives a calculation method of the mixed-strategy Nash equilibrium solution of the game in the presence of risk by establishing the fitness evaluation function, compared with the Nash equilibrium solution of the game under no risk, the solution obtained by this method can enhance the expected benefit of the UAV swarm and better meet the actual tactical needs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Radar Target Selection Strategy Based on Improved Subjective Bayesian Reasoning

Radar Target Selection Strategy Based on Improved Subjective...

引用

International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Li, Wen Pei, Hucheng Qu, Guangzhou Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789811694912

In order to deal with the influence of dilution passive decoy jamming on target selection of UAV radar, and to enable UAV radar have more independent decision-making ability to acquire the naval ship correctly in an ocean battlefield scene containing single real ship and multiple passive decoys, a method which established the mathematical simulation model of jamming scene, and used the model as the fitness function to calculate the adequacy measurement parameters of subjective Bayesian reasoning through genetic optimization algorithm is proposed. This method is applied to UAV radar target selection, compared with traditional target selection methods using single target feature, this method can improve the accuracy of ship acquisition by comprehensive using multi-dimensional target features. Moreover, this method can further improve the joint acquisition accuracy by setting multiple adequacy measurement parameters for different radars, which prove that the method can achieve the purpose of improving the success rate of UAV radar against dilution passive decoy jamming. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Radar

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Ship Size Attribute Reconstruction Method Based on Multi-aircraft Collaborative Detection 7th

Ship Size Attribute Reconstruction Method Based on Multi-air...

引用

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

作者： Xiaozu, Li Qingxi, Chi Peng, Jiang Mengmeng, Han Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789819733316

For mixed-ship scenarios, traditional aircraft have limited ability to extract ship features due to the constraints of observation angles, making it difficult to effectively select the high-value ship targets. In this paper, a ship length and width reconstruction method adaptable to multi-aircraft cooperative detection is proposed, taking dual-aircraft radar cooperative detection as the research object. Under the premise of known heading, a ship size reconstruction model is established by combining the radial size information from different observation directions. Finally, the performance of the model under different detection conditions is analyzed. Simulation verification shows that the maximum length reconstruction error does not exceed 7.56% of the true length of the target, which can effectively restore the target size information and provide necessary support for effectively solving the problem of the high-value ship targets selection in mixed scenes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Ships

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Active Disturbance Rejection Gain Scheduling control of Hypersonic Vehicle Based on Guardian Maps 13

Active Disturbance Rejection Gain Scheduling Control of Hype...

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13th IEEE Data Driven control and Learning systems Conference, DDCLS 2024

作者： Zhang, Tingyu Wang, Yongshuai Sun, Mingwei Hao, Mingrui Chen, Zengqiang College of Artificial Intelligence Nankai University Tianjin300350 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9798350361674

This paper presented an adaptive gain scheduling algorithm for hypersonic vehicles with wide envelopes. First, the linear parameter variable parameter (LPV) model of hypersonic vehicles is established in the flight envelope. Then, the active disturbance rejection controller is considered to cope with disturbances and uncertainties, and the control gain is scheduled using the guardian maps method to adapt to the wide envelope of velocity and height. Finally, numerical simulation results show good control performance and meet the required performance indexes in all operating conditions, demonstrating the effectiveness and robustness of the proposed method. © 2024 IEEE.

关键词： Disturbance rejection

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An infrared Radar fusion tracking algorithm based on adaptive fault tolerant filtering 40

An infrared Radar fusion tracking algorithm based on adaptiv...

引用

40th Chinese control Conference, CCC 2021

作者： Peng, Siting Lei, Li Ma, Yichao Youcheng, Wang Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789881563804

In this paper, based on the fusion tracking of infrared and radar, a federated kalman filtering algorithm based on adaptive fault tolerance is designed. According to the observation equation of infrared and radar, a distributed fusion federated kalman filtering structure is established by using three infrared sensors and three radar sensors. The sub nodes filter their detection information respectively, and the estimation results are obtained. After that, the sub nodes filter results are sent into their part of fault-tolerant judgment respectively, then we can get the weight information of each sub node, thus it can determine the degree of dependence of each node, and the filtering results of all sub nodes are fused into calculation by their weight. The final simulation shows that the algorithm can isolate the interference in the multi-mode fusion tracking process effectively , and get a stable state estimation output. © 2021 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Tracking radar

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A Novel Attitude controller for Hypersonic Aircraft Based on FR-PI2

A Novel Attitude Controller for Hypersonic Aircraft Based on...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Fan, Jiajun Li, Tianyi Guo, Xian Hao, Mingrui Sun, Mingwei College of Artificial Intelligence Nankai University Tianjin300350 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Bejing100074 China

ISBN: (纸本)9789811581540

Due to the uncertainties and various noises of the Hypersonic Aircraft(HA), traditional method of designing attitude controllers based on accurate models faces immense challenges. To solve those proposed urgent problems effectively, in this paper, a innovative data-driven RL algorithm called FR-PI2 is proposed for the task of Hypersonic Aircraft attitude control, wherein several key techniques are introduced. Firstly, Hypersonic Aircraft attitude control is transformed into a stochastic optimal control problem, and the numerical solutions of the proposed stochastic optimal control problem are obtained with a path-integral-based method, called Policy Improvement with Path Integrals(PI2). Secondly, a model-free policy parameterization method with PID controller is integrated into the PI2 algorithm to ensure a low dependency of the Hypersonic Aircraft system model. Thirdly, a brand-new sample filtration method is proposed to guarantee rapid convergence, and an online optimization technology called rolling optimization is applied to guarantee optimality and real-time performance. Two series of experiments are carried out and analyzed to demonstrate the outstanding performance of the FR-PI2 algorithm. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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A Scene Matching Backtracking Location Method Based on Convergence Criterion 11th

A Scene Matching Backtracking Location Method Based on Conve...

引用

11th China Conference on Command and control, C2 2023

作者： Peng, Siting Jun, Ren lei, Li Ma, Yichao Yang, Yanjiao Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819990207

In this paper, the engineering problems in scene matching positioning system are studied, according to the scene matching positioning of satellite under the condition of denial, establish a volume of physical model, kalman filtering method of indirect filtering residual envelope method is adopted to improve the mismatching points out and jumping back and forth, filtering results using backtracking method to solve the problem of less The precise positioning of the aircraft's own position under the condition of satellite rejection is realized, so as to achieve accurate guidance and strike to the target. The simulation results show that the method described in this paper is effective and has good academic and engineering significance. © Chinese Institute of Command and control 2024.

关键词： Kalman filters

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RPViT: Vision Transformer Based on Region Proposal 2022

RPViT: Vision Transformer Based on Region Proposal

引用

5th International Conference on Image and Graphics Processing, ICIGP 2022

作者： Ge, Jing Wang, Qianxiang Tong, Jiahui Gao, Guangyu School of Computer Science and Technology Beijing Institute of Technology China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9781450395465

Vision Transformers constantly absorb the characteristics of convolutional neural networks to solve its shortcomings in translational invariance and scale invariance. However, dividing the image by a simple grid often destroys the position and scale features in the image at the beginning of the network. In this paper, we propose a vision transformer based on region proposal, which obtains the inductive bias in a simple way. Specifically, RPViT achieves locality and scale-invariance by extracting regions with locality using a traditional region proposal algorithm and deflating objects of different scales to the same scale by a bilinear interpolation algorithm. In addition, to enable the network to fully utilize and encode diverse candidate objects, a multi-class token approach based on orthogonalization is proposed and applied. Experiments on ImageNet demonstrate that RPViT outperforms baseline converters and related work. © 2022 ACM.

关键词： Convolutional neural networks

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Zero-shot learning based on semantic embedding for ship detection 3

Zero-shot learning based on semantic embedding for ship dete...

引用

3rd International Conference on Unmanned systems, ICUS 2020

作者： Zhang, Zihan Zhoa, Jiajia Liang, Xinkai Northwestern Polytechnical University School of Electronics and Information Shaanxi Xi'an China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Bejing China

ISBN: (纸本)9781728180250

Zero-shot detection (ZSD) is a hot topic, which can detect unseen object without training on it. This new approach rises several challenges, e.g., the imbalance between positive and negative data, ambiguity between background and unseen classes, and how to align visual feature and semantic concept. In this paper, we apply an end-to-end zero-shot network to fulfil ZSD, where polarity loss is utilized to train detection model. polarity loss puts more importance on difficult data to reduce class imbalance and can maximize the difference between positive and negative predictions. Then, we use a semantic embedding method that use word vectors in both classification and regression subnets to better align visual features and semantic features. Finally, we use MS-COCO dataset as seen classes to train detection model, then we transfer the model for our own to detect warship object. Our model performs good on unseen classes and test accuracy of using polarity loss is apparently higher than that of using focal loss. © 2020 IEEE.

关键词： Zero-shot learning

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