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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification

IEEE Access 2025年 13卷 93178-93189页

作者： Xingguo Jiang Ling Yu Guojun Lin Yuchao Zhang School of Automation and Information Engineering Sichuan University of Science and Engineering Yibin China Intelligent Perception and Control Key Laboratory of Sichuan Province Yibin China

Domain generalization person re-identification (DG-ReID) aims to address the performance degradation caused by domain shift between the training domain and unseen target domains. Transformers often demonstrate better generalization ability than CNNs due to their self-attention mechanism and capacity for capturing global features. However, the supervised learning strategy on the source domain makes the Transformer-based ReID model inevitably overfit the bias in some regions. Therefore, a transformer model (PMD Transformer) for DG-ReID is proposed. First, by introducing relative position coding, it prevents the person image block from losing its relative position information when passing through the attention mechanism and improves the extraction of person features. Second, in order to solve the excessive attention of the model to the features of some regions and thus the overfitting phenomenon, the part mask attention (PMA) module is designed to limit the scope of the attention mechanism and improve the computational efficiency. Finally, a new feedforward network (DRFNN) is used to enhance the mastery of spatial information and further improve the generalization performance of the model. The experimental results show that, in the setting where Market is the source domain and Duke is the target domain, the average precision (mAP) and Rank-1 metrics increased by 12.5% and 9.2%, respectively, compared to the optimal algorithm. In the setting where Duke is the source domain and CUHK03-NP is the target domain, the mAP and Rank-1 metrics increased by 10.5% and 8.6%, respectively. The experiments demonstrate that the proposed model exhibits outstanding generalization ability in DG-ReID.

关键词： Adaptation models Transformers Data models Feature extraction Computational modeling Identification of persons Image coding Computer vision Robustness Training

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Unmanned Air-Ground Vehicles Path Planning Using Model Predictive control

Unmanned Air-Ground Vehicles Path Planning Using Model Predi...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Gu, Yuanwen Wang, Mi Wu, Huaining Li, Chenlong Li, Gang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Hangzhou International Innovation Institute Beihang University Hangzhou311115 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Department of Control Science and Engineering Tongji University Shanghai201800 China

ISBN: (纸本)9789819639649

In this article, the problem of air-ground vehicles path planning is investigated. The objective is to navigate each vehicle from its starting position to the intended destination, while avoiding collisions with obstacles and other vehicles. First, by combining the objective functions of unmanned ground vehicle (UGV) and unmanned aerial vehicles (UAVs) with the constraints of system equations, control constraints and obstacle avoidance constraints, the vehicles’ path planning is formulated as multiple model predictive control (MPC) problems. Second, considering the interdependencies inherent in these optimization problems, we employ an assumed state method to decouple them effectively. Third, the control inputs of the UGV and UAVs are obtained by solving quadratic programming problems and thus the vehicles’ path can be obtained. Finally, a simulation example is shown to illustrate the effectiveness of the proposed path planning method. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Predictive control systems

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SKE-MSA: Enhancing Representation Learning with VAD Lexicon for Multimodal Sentiment Analysis

SKE-MSA: Enhancing Representation Learning with VAD Lexicon ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yang Yang Xunde Dong Yupeng Qiang Wenjie Si School of Automation Science and Engineering South China University of Technology School of Electrical and Control Engineering Henan University of Urban Construction

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Most existing Multimodal Sentiment Analysis (MSA) models that are enhanced with external sentiment knowledge primarily focus on integrating this knowledge during the multimodal fusion stage, while overlooking its potential benefits during the multimodal representation learning process. In this study, we propose a Sentiment Knowledge-Enhanced Multimodal Sentiment Analysis (SKE-MSA) framework, which incorporates an external sentiment knowledge base—the VAD lexicon—to enhance MSA. SKE-MSA introduces the Sentiment-aware Encoding Loss (SAE_Loss), designed to leverage external sentiment knowledge to guide the representation learning of multimodal encoders. Building on this, we extract both common and unique features of multimodal representations and subsequently predict sentiment intensity based on these features. Extensive experiments conducted on three MSA datasets demonstrate the competitive performance of SKE-MSA.

关键词： Representation learning Sentiment analysis Knowledge based systems Buildings Lexicon Signal processing Feature extraction Encoding Data mining Speech processing

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Consensus controllability for Node and Edge Multiagent Systems

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IEEE Transactions on control of Network Systems 2025年

作者： Kang, Lifan Ji, Zhijian Liu, Yungang Lin, Chong Qingdao University Institute of Complexity Science College of Automation China Shandong Key Laboratory of Industrial Control Technology China Shandong University School of Control Science and Engineering China

The multiagent controllability of both node and edge dynamics depends on the communication topology, leader selection, as well as the weight adjustments. This paper deals with the controllability relationship between node dynamics and edge dynamics using an edge dynamics model that describes the states of nodes and edges. According to the number of nodes N and edges M , topology graphs are divided into three categories: N > M , N = M , and N M , the uncontrollable node and edge dynamics are converted to a controllable situation by adding leaders or adjusting weights. Finally, algorithms are provided to validate the effectiveness of the outcomes. © 2025 IEEE. All rights reserved.

关键词： controllability

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Adaptive Prescribed-Time Distributed Nash Equilibrium Seeking for Networked Games with Heterogeneous Dynamics and Unknown Uncertainties

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IEEE Transactions on control of Network Systems 2025年

作者： Chen, Yiyang Hua, Yongzhao Feng, Zhi Dong, Xiwang Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Shenyuan Honors College Beijing100191 China Beihang University School of Artificial Intelligence Institute of Artificial Intelligence Beijing100191 China Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing100191 China Beihang University Institute of Unmanned System School of Artificial Intelligence Institute of Artificial Intelligence School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing100191 China

This paper investigates the adaptive prescribed-time distributed Nash equilibrium (NE) seeking problems for networked games with heterogeneous dynamics and unknown uncertainties. The proposed algorithms are based on the two-layer structure, namely the NE seeking part and the tracking control part. For the players without uncertainties, the adaptive parameters are utilized in the seeking part to avoid the use of the global information. The auxiliary variables are constructed to seek for the NE point within the prescribed time and serve as the reference signals for the tracking control part. Then the state feedback control is designed to drive the strategies of all the players to the expected NE point in the prescribed time. Furthermore, the approximation theory is introduced to deal with the unknown nonlinear uncertainties. The exponential parameters are involved in the designed estimates to accelerate the convergence rate. The Lyapunov method is utilized to show the prescribed-time convergence property of the algorithms. Besides, although the time-varying piecewise function is involved in the algorithms, the uniform boundedness of the control input can be ensured by carefully selecting the initial values of the auxiliary parameters. Finally, the simulation is given to show the effectiveness of the proposed algorithms. © 2025 IEEE.

关键词： Lyapunov methods

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Finite-Time Active Disturbance Rejection control for Electromagnetic Formation Flight in Near-Earth Orbit 2nd

Finite-Time Active Disturbance Rejection Control for Electr...

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2nd International Conference on the Frontiers of Robotics and Software engineering, FRSE 2024

作者： Shen, Xixi Meng, Bin Hu, Jiangping Zhou, Qingrui School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Beijing Institute of Control Engineering Beijing100080 China University of Electronic Science and Technology of China Huzhou313000 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing100094 China

ISBN: (纸本)9789819631605

This paper investigates the position tracking control problem in electromagnetic satellite formation by utilizing the relative motion CW equation as the dynamic model. Firstly, a finite-time state feedback controller is derived using the adding a power integrator method, without considering external disturbances. This controller constitutes the feedback component of the composite controller. Subsequently, when the relative velocity of the system cannot be measured and is subject to external disturbances, a finite-time extended state observer is designed to estimate the relative velocity and disturbances of the system. The estimated disturbances serve as feedforward compensation, and the combination of the observer and the feedback control law achieves finite-time control without velocity measurements. Finally, it is proven that the proposed control law can achieve position tracking within a finite time. Numerical simulations at the end of the paper validate the theoretical analysis. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Disturbance rejection

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Small-Signal Stability Analysis of Flux-controlled Grid-Forming DFIG Under Symmetrical Fault

Small-Signal Stability Analysis of Flux-Controlled Grid-Form...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Li, Weibing Wang, Wenhe Hu, Yufei Li, Junxian Hua, Xiaojun Jiang, Dingguo Huang, Meng Tian, Zhen Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan430014 China School of Electrical Engineering and Automation Wuhan University Wuhan430072 China Institute of Science and Technology China Three Gorges Corporation Beijing100038 China

ISBN: (纸本)9789819620791

Due to the dislocation distribution of wind resources and load centers in China, large-scale wind power stations usually need long-distance transmission to connect with the load center, which leads to the weakening of the power grid strength at the access point of wind power stations and frequent short-circuit faults. In this paper, a small signal state space model of flux-controlled grid-forming DFIG grid-connected system is constructed for the continuous condition of symmetrical fault in weak grid scenario, and the oscillation mode analysis of the system is carried out. Based on the fault ride-through requirements and electromagnetic equations of wind turbines, the calculation method of the balanced operating point of DFIG during symmetrical fault duration is derived. Then, based on the system characteristic root trajectory and the participation factor matrix, the small-disturbance stability of the system under different fault conditions and converter control parameters is analyzed, and the influence of each dynamic link on the small-disturbance stability of the system is explored. Finally, the accuracy of the theoretical analysis results in this paper is verified by simulation analysis and comparison, which provides guidance for parameter optimization of DFIG during fault duration. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Wind turbines

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Maritime Target Saliency Detection for UAV Based on Raptor Vision Perception Enhancement Mechanism

引用

IEEE Aerospace and Electronic Systems Magazine 2025年

作者： Liu, Yuhang Wei, Chen Duan, Haibin Deng, Yimin Beihang University National Key Laboratory of Aircraft Integrated Flight Control School of Automation Science and Electrical Engineering Beijing100083 China

Inspired by the enhanced perception mechanism of raptor vision in various hunting environments, we propose a biological raptor vision perception enhancement algorithm for Unmanned Aerial Vehicles (UAVs) to detect medium-distance maritime targets in complex and dynamic ocean environments. Firstly, we summarize the various perception enhancement capabilities based on the physiological structure and functional characteristics of the raptor visual system. Secondly, we establish mathematical models for light perception enhancement, foreground perception enhancement, contrast perception enhancement, and perception balance based on the raptor vision's enhanced perception mechanism. Finally, our proposed biological raptor vision perception enhancement method is experimentally tested in different scenarios and compared with seven other algorithms. The results of the comparative experiments and relevant evaluation indicators show that the algorithm effectively retains the feature information of maritime targets while suppressing interference from the environmental background. This maritime target saliency detection algorithm can be applied to the vision system of sea UAVs, providing a feasible solution for the medium-distance recovery of UAVs in complex and dynamic ocean environments. © 1986-2012 IEEE.

关键词： Aircraft detection

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Low-Frequency Damping Analysis of Flux-controlled Grid-Forming DFIG

Low-Frequency Damping Analysis of Flux-Controlled Grid-Formi...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Hu, Yufei Li, Weibing Deng, Youhan Jiang, Dingguo Huang, Meng Tian, Zhen Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan430014 China School of Electrical Engineering and Automation Wuhan University Wuhan430072 China Institute of Science and Technology China Three Gorges Corporation Beijing100038 China

ISBN: (纸本)9789819620791

To improve the small-signal stability of system, the damping torque model of flux-controlled grid-forming DFIG is constructed based on the small-signal model. And the low-frequency damping characteristics of system are analyzed by adopting the complex torque coefficient method. Then, analogous to the principle of PSS, a low-frequency oscillation damping method is proposed, which can efficiently optimize the low-frequency damping characteristics of system. Finally, based on the simulation results, the accuracy of theoretical analysis results and the effectiveness of proposed method are verified. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Damping

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Spectrum Assignment of Stochastic Systems with Multiplicative Noise

arXiv

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arXiv 2025年

作者： Xue, Xiaomin Xu, Juanjuan Zhang, Huanshui School of Control Science and Engineering Shandong University Jinan250061 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266000 China

This paper studies the spectrum assignment of a class of stochastic systems with multiplicative noise. A novel α-spectrum assignment is proposed for discrete-time and continuous-time stochastic systems with multiplicative noise. In particular, 0-spectrum assignment is equivalent to the pole assignment for the deterministic systems. The main contribution is two-fold: On the one hand, we present the conditions for α-spectrum assignment and the design of feedback controllers based on the system parameters. On the other hand, when the system parameters are unknown, we present a stochastic approximation algorithm to learn the feedback gains which guarantee the spectrum of the stochastic systems to achieve the predetermined value. Numerical examples are provided to demonstrate the effectiveness of the proposed algorithms. Copyright © 2025, The Authors. All rights reserved.

关键词： Continuous time systems

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