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学者姓名：张利国
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Abstract ：
This paper studies the state estimation problem for a class of coupled linear ODE-hyperbolic PDE systems with unknown in-domain parameters. Based on the swapping transformation and the least squares parameter estimation method, a Luenberger-type adaptive boundary observer is designed to estimate the ODE-PDE states under the unknown parameters. The exponential convergence conditions w.r.t. the observer feedback gains are given by employing the Lyapunov technique. Finally, an application to traffic state estimation of the Aw-Rascle-Zhang (ARZ) model involving the unknown relaxation time and the boundary input speed deviation is provided to validate the theoretical result. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Keyword ：
Adaptive observers Adaptive observers Lyapunov method Lyapunov method Hyperbolic systems Hyperbolic systems Swapping transformation Swapping transformation Coupled ODE-PDE systems Coupled ODE-PDE systems
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| GB/T 7714 | Zhang, Liguo , Wu, Jiahao , Zhan, Jingyuan . Adaptive observer design for coupled ODE-hyperbolic PDE systems with application to traffic flow estimation [J]. | AUTOMATICA , 2024 , 167 . |
| MLA | Zhang, Liguo 等. "Adaptive observer design for coupled ODE-hyperbolic PDE systems with application to traffic flow estimation" . | AUTOMATICA 167 (2024) . |
| APA | Zhang, Liguo , Wu, Jiahao , Zhan, Jingyuan . Adaptive observer design for coupled ODE-hyperbolic PDE systems with application to traffic flow estimation . | AUTOMATICA , 2024 , 167 . |
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Abstract ：
Recent research has demonstrated that Vision Transformers (ViTs) are capable of comparable or even better performance than convolutional neural network (CNN) baselines. The differences in their structural designs are obvious, but our understanding of the differences in their feature representations remains limited. In this work, we propose several techniques to achieve high-quality visualization of representations in ViTs. Both qualitative and quantitative experiments show that our technical improvements can observably improve ViT visualization quality compared to previous studies. Furthermore, we conduct visualizations to explore the disparities between ViTs and CNNs pre-trained on ImageNet1K, revealing three intriguing properties of ViTs: a) ViT feature propagation retains image detail information with minimal loss, whereas CNNs discard most image details for class discrimination. b) Different from CNNs, object-related features do not show in ViT higher layers, suggesting that class-discriminative features may not be required for ViT classification. c) Our visualization-assisted texture-bias experiment reveals that both ViTs and CNNs exhibit texture bias, of which ViTs seem to be more biased towards local textures.
Keyword ：
optimization visualization optimization visualization feature representation feature representation convolutional neural network convolutional neural network Vision Transformer Vision Transformer
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| GB/T 7714 | Shi, Rui , Li, Tianxing , Zhang, Liguo et al. Visualization Comparison of Vision Transformers and Convolutional Neural Networks [J]. | IEEE TRANSACTIONS ON MULTIMEDIA , 2024 , 26 : 2327-2339 . |
| MLA | Shi, Rui et al. "Visualization Comparison of Vision Transformers and Convolutional Neural Networks" . | IEEE TRANSACTIONS ON MULTIMEDIA 26 (2024) : 2327-2339 . |
| APA | Shi, Rui , Li, Tianxing , Zhang, Liguo , Yamaguchi, Yasushi . Visualization Comparison of Vision Transformers and Convolutional Neural Networks . | IEEE TRANSACTIONS ON MULTIMEDIA , 2024 , 26 , 2327-2339 . |
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Abstract ：
This article studies the problem of adaptive boundary observer design for a class of linear hyperbolic partial differential equations (PDEs) subject to in-domain and boundary parameter uncertainties. Based on the swapping transformation technique, a Luenberger-type boundary observer with the least squares parameter estimation law is designed, which relies only on the measurements at boundaries of the system. By employing the Lyapunov function method, we prove that the exponential convergence of the proposed boundary observer design scheme is guaranteed when the observer gains satisfy a set of matrix inequality conditions. Finally, we illustrate the effectiveness of the adaptive estimation scheme by applying it to the linearized Aw-Rascle-Zhang traffic flow model involving the in-domain relaxation time and boundary flux fluctuation uncertainties.
Keyword ：
Observers Observers Adaptive systems Adaptive systems hyperbolic PDEs hyperbolic PDEs Adaptive boundary observer Adaptive boundary observer Convergence Convergence Aw-Rascle-Zhang (ARZ) traffic flow model Aw-Rascle-Zhang (ARZ) traffic flow model swapping transformation swapping transformation Lyapunov methods Lyapunov methods Linear matrix inequalities Linear matrix inequalities Adaptation models Adaptation models Parameter estimation Parameter estimation
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| GB/T 7714 | Wu, Jiahao , Zhan, Jingyuan , Zhang, Liguo . Adaptive Boundary Observers for Hyperbolic PDEs With Application to Traffic Flow Estimation [J]. | IEEE TRANSACTIONS ON AUTOMATIC CONTROL , 2024 , 69 (1) : 651-658 . |
| MLA | Wu, Jiahao et al. "Adaptive Boundary Observers for Hyperbolic PDEs With Application to Traffic Flow Estimation" . | IEEE TRANSACTIONS ON AUTOMATIC CONTROL 69 . 1 (2024) : 651-658 . |
| APA | Wu, Jiahao , Zhan, Jingyuan , Zhang, Liguo . Adaptive Boundary Observers for Hyperbolic PDEs With Application to Traffic Flow Estimation . | IEEE TRANSACTIONS ON AUTOMATIC CONTROL , 2024 , 69 (1) , 651-658 . |
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Abstract ：
本发明公开了一种用于车载视频序列的公路隧道洞内显著线段自动跟踪方法。本发明所特别关注的两条显著线段就是隧道顶部黑暗区域与白色侧壁之间的左右分割边界。通过自动跟踪两条显著线段，并将这两条显著线段的交点作为消隐点，可以减少车载视频中消隐点连续估计的抖动干扰，有效提高LED灯具缺失智能检测的性能，从而大大提高了已有工作的可用性。实验结果表明，采用本发明的技术方案，对公路隧道洞内显著线段的跟踪效果较好，满足了减少连续车载视频中消隐点估计干扰和提高道路隧道中几何信息恢复性能的实际需要。这为隧道照明系统高效验收以及日常养护提供了新的技术手段。
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| GB/T 7714 | 辛乐 , 刘旭东 , 张利国 . 一种基于车载视频序列的公路隧道洞内显著线段自动跟踪方法 : CN202310645883.0[P]. | 2023-06-02 . |
| MLA | 辛乐 et al. "一种基于车载视频序列的公路隧道洞内显著线段自动跟踪方法" : CN202310645883.0. | 2023-06-02 . |
| APA | 辛乐 , 刘旭东 , 张利国 . 一种基于车载视频序列的公路隧道洞内显著线段自动跟踪方法 : CN202310645883.0. | 2023-06-02 . |
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Abstract ：
本文提供了一种基于覆盖区域划分和能耗均衡的传感器网络分簇路由方法，所述方法包括：获取针对传感器节点的网络结构；根据预先设定的汇聚节点，对所述网络结构进行区域划分，得到至少两种节点区域；根据划分得到的节点区域，计算获得每个节点区域中的节点的距离因子和剩余能量因子；根据每个节点的距离因子和剩余能量因子，以及每个节点所在的节点区域，计算获得每个节点的簇头选择阈值；根据预设选择规则和每个节点的簇头选择阈值，确定当前周期内的簇头，其余节点为普通节点，并根据簇头对普通节点进行分簇；针对分簇后的节点执行融合任务，直到下一个周期，方法将网络结构分层处理，能够有效管理传感器节点、降低网络能耗、优化网络资源。
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| GB/T 7714 | 邓恒 , 周佳慧 , 赵峙尧 et al. 基于覆盖区域划分和能耗均衡的传感器网络分簇路由方法 : CN202310558359.X[P]. | 2023-05-17 . |
| MLA | 邓恒 et al. "基于覆盖区域划分和能耗均衡的传感器网络分簇路由方法" : CN202310558359.X. | 2023-05-17 . |
| APA | 邓恒 , 周佳慧 , 赵峙尧 , 张利国 . 基于覆盖区域划分和能耗均衡的传感器网络分簇路由方法 : CN202310558359.X. | 2023-05-17 . |
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Abstract ：
本发明公开了一种基于视觉传感器网络的多运动体三维跟踪与控制平台，包括多摄像机系统、地面控制系统、机载红外反光小球和目标无人机四个主要模块。多摄像机系统包括多个带有红外滤光片的摄像机、用于增强光强度的红外补光源和用于同步多个摄像机图像数据的同步触发器以及一个导航端电脑来运行核心视觉算法。多摄像机相互作用组成一个视觉传感器网络。地面控制系统从多摄像机系统接收导航数据，然后通过无线局域网将控制命令上传到目标无人机。数据传输是利用机器人操作系统ROS的话题订阅和发布机制，对导航数据进行处理、结合参考轨迹和控制器计算出给无人机的控制指令，最后将该指令通过无线局域网发布。
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| GB/T 7714 | 邓恒 , 詹璟原 , 张利国 . 一种基于视觉传感器网络的多运动体三维跟踪与控制平台 : CN202310276977.5[P]. | 2023-03-21 . |
| MLA | 邓恒 et al. "一种基于视觉传感器网络的多运动体三维跟踪与控制平台" : CN202310276977.5. | 2023-03-21 . |
| APA | 邓恒 , 詹璟原 , 张利国 . 一种基于视觉传感器网络的多运动体三维跟踪与控制平台 : CN202310276977.5. | 2023-03-21 . |
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Abstract ：
In contrast to the fruitful results in saturated control of ordinary differential equation (ODE) systems, there are few related studies for hyperbolic partial differential equation (PDE) systems. This paper focuses on the saturated boundary feedback stabilization problem for the Lighthill-Whitham-Richards (LWR) traffic flow model, in which a variable speed limit (VSL) device is applied at the downstream boundary in the presence of actuator saturation and a saturated boundary feedback controller is proposed to drive the traffic density to the steady state. By employing the Lyapunov function method along with a modified local sector condition, sufficient conditions for ensuring the local exponential stability of the LWR traffic flow system are developed in C1-norm. Remarkably, the proposed sufficient conditions establish a relationship between the control gain and the region of exponential stability (RES), and thus the maximal RES can be determined by introducing an optimization criterion. Lastly, numerical simulations are performed to verify the effectiveness of the theoretical results.(c) 2023 Elsevier B.V. All rights reserved.
Keyword ：
Actuator saturation Actuator saturation Lyapunov function Lyapunov function LWR traffic flow model LWR traffic flow model Sector condition Sector condition Boundary control Boundary control
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| GB/T 7714 | Zhao, Hanxu , Zhan, Jingyuan , Zhang, Liguo . Saturated boundary feedback stabilization for LWR traffic flow model [J]. | SYSTEMS & CONTROL LETTERS , 2023 , 173 . |
| MLA | Zhao, Hanxu et al. "Saturated boundary feedback stabilization for LWR traffic flow model" . | SYSTEMS & CONTROL LETTERS 173 (2023) . |
| APA | Zhao, Hanxu , Zhan, Jingyuan , Zhang, Liguo . Saturated boundary feedback stabilization for LWR traffic flow model . | SYSTEMS & CONTROL LETTERS , 2023 , 173 . |
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Abstract ：
This paper studies the problem of the adaptive boundary observer design for the Aw-Rascle-Zhang (ARZ) traffic flow model, which is subject to both relaxation time uncertainty in the domain and boundary input disturbance. The boundary input disturbance comes from merging vehicles' velocities at the downstream on-ramp, and we scale the disturbance by a low-pass filter based on the ordinary differential equation (ODE). Then, the ARZ model with the domain uncertainty and boundary input disturbance can be linearized to a coupled ODEPDE system. Based on the swapping transformation, an adaptive boundary observer with least-squares type parameter estimation is designed to estimate the traffic states, the domain uncertainty, and the boundary input disturbance, simultaneously. The exponential convergence conditions w.r.t. observer feedback gains are given by employing the Lyapunov technique. Finally, the simulation results are presented to illustrate the effectiveness of the designed adaptive boundary observer.
Keyword ：
Coupled ODE-hyperbolic PDE Coupled ODE-hyperbolic PDE Lyapunov technique Lyapunov technique ARZ traffic flow model ARZ traffic flow model Uncertain parameter Uncertain parameter Adaptive observer Adaptive observer
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| GB/T 7714 | Wu, Jiahao , Zhan, Jingyuan , Zhang, Liguo . Adaptive boundary observer for ARZ traffic flow model with domain and boundary uncertainties [J]. | IFAC PAPERSONLINE , 2023 , 56 (2) : 8964-8969 . |
| MLA | Wu, Jiahao et al. "Adaptive boundary observer for ARZ traffic flow model with domain and boundary uncertainties" . | IFAC PAPERSONLINE 56 . 2 (2023) : 8964-8969 . |
| APA | Wu, Jiahao , Zhan, Jingyuan , Zhang, Liguo . Adaptive boundary observer for ARZ traffic flow model with domain and boundary uncertainties . | IFAC PAPERSONLINE , 2023 , 56 (2) , 8964-8969 . |
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This paper investigates the consensus problem of networked hyperbolic partial differential equation (PDE) systems for reaching an agreement over the whole spatial domain via event-triggered boundary feedback control. Consensus controllers are proposed for each PDE system based on the boundary information of its neighboring systems, where both centralized and distributed event-triggered strategies are designed in order to reduce the controller updating frequency. By employing the Lyapunov technique, sufficient conditions with respect to system matrices, event-triggered conditions and the undirected communication topology are obtained to ensure consensus of the networked systems, and it is proved that the Zeno behavior can also be avoided. Finally, the consensus control of a three-lane freeway traffic flow system modeled by Aw-Rascle-Zhang Equations is given as an application example, and the numerical simulation is carried out to validate the theoretical results.
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| GB/T 7714 | Lu, Mengyao , Zhan, Jingyuan , Zhang, Liguo . Consensus of networked hyperbolic systems via event-triggered boundary feedback control [J]. | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC , 2023 : 6187-6192 . |
| MLA | Lu, Mengyao et al. "Consensus of networked hyperbolic systems via event-triggered boundary feedback control" . | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC (2023) : 6187-6192 . |
| APA | Lu, Mengyao , Zhan, Jingyuan , Zhang, Liguo . Consensus of networked hyperbolic systems via event-triggered boundary feedback control . | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC , 2023 , 6187-6192 . |
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Abstract ：
This paper investigates the boundary stabilization problem for a mixed traffic flow system composed of the traditional human-driven traffic flow and a platoon of autonomous vehicles. Firstly, we employ the first-order LWR model to describe the mixed traffic flow, which is with a bilateral moving spatial domain governed by the platoon. In order to stabilize the mixed traffic flow into the desired density and platoon length, a downstream boundary controller is designed based on the information of upstream density and platoon length. To facilitate the well-posedness and stabilization analysis, we transform the system into a coupled PDE-ODE system with fixed spatial domain. Then we prove the well-posedness of the system, and we further derive sufficient conditions for ensuring the local exponential stability of the system by employing the Lyapunov function method. Finally, numerical simulations are provided to validate the theoretical results.
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| GB/T 7714 | Zhan, Jingyuan , Wu, Jiahao , Zhang, Liguo . Boundary Stabilization for Mixed Traffic Flow in the Presence of Autonomous Vehicle Platooning [J]. | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC , 2023 : 8063-8068 . |
| MLA | Zhan, Jingyuan et al. "Boundary Stabilization for Mixed Traffic Flow in the Presence of Autonomous Vehicle Platooning" . | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC (2023) : 8063-8068 . |
| APA | Zhan, Jingyuan , Wu, Jiahao , Zhang, Liguo . Boundary Stabilization for Mixed Traffic Flow in the Presence of Autonomous Vehicle Platooning . | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC , 2023 , 8063-8068 . |
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