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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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Anomaly Monitoring Methodology for DC/DC Converters Using Gaussian Process Regression and Gaussian Mixture Model

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IEEE Sensors Journal 2025年第9期25卷 16425-16439页

作者： Xia, Qian Cui, Zhexin Hung Lee, Hiu Lu, Chang Hou, Yuluo Yue, Jiguang Lyu, Feng Wu, Chenhao Centre for Advances in Reliability and Safety Pak Shek Kok NT Hong Kong Hong Kong Tongji University College of Electronic and Information Engineering Department of Control Science and Engineering Shanghai201804 China Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hung Hom Hong Kong Hong Kong Tongji University State Key Laboratory of Marine Geology Shanghai201804 China Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China

Healthy dc/dc converters in undersea observation networks are essential for ensuring that these systems operate reliably over decades. Any performance degradation or failures in the dc/dc converters can result in significant, potentially incalculable damage. To prevent such issues, continuous anomaly monitoring during operation is critical for synchronized and successful mission completion. This article introduces a method for dc/dc converter anomaly monitoring based on the complete output signal distribution. A specialized signal collection device is integrated into the monitoring system to capture and preprocess output signals, enabling reliable data acquisition in challenging environments like undersea operations. The method leverages Gaussian process regression (GPR) to determine monitoring thresholds and Gaussian mixture model (GMM) to detect anomalies. The robustness of the method is validated using high-order Superbuck converters, with comparative analysis against other monitoring methods, demonstrating its superior performance. Experimental results confirm that this method effectively identifies anomalous conditions across various types and orders of dc/dc converters, regardless of signal type, ensuring versatility and reliability in critical applications. © 2001-2012 IEEE.

关键词： Gaussian distribution

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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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Optimization of working conditions in solid oxide electrolysis cell based on deep neural network and slime mold algorithm

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International Journal of Hydrogen Energy 2025年 135卷 172-181页

作者： Zhang, Jiawei Wang, Zhuo Li, Ming Liu, Guoqiang Zhang, Lin Xu, Yuanwu Li, Xi School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Marine Engineering College Dalian Maritime University Dalian116026 China School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518055 China Department of Early Warning Technology Air Force Early Warning Academy Wuhan430019 China Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Wuhan430074 China

Solid oxide electrolysis cell (SOEC) are a highly efficient hydrogen production technology, but thermal stresses induced by temperature gradient under high temperature may accelerate performance degradation and cause equipment damage. Optimizing operating parameters to balance efficiency and thermal safety is critical to addressing these challenges. Existing optimization methods primarily rely on numerical simulations and experimental validations, but their high time and economic costs limit practical applications. To overcome this challenge, this study proposes a performance optimization method that, unlike conventional models, considers thermal safety constraints and rapidly determines optimal SOEC operating conditions with varying power inputs. By integrating the deep neural network with a one-dimensional multiphysics field model, the method leverages data generated by complex multiphysics field model to train the network and systematically analyze the effects of different operating conditions on SOEC stack power and efficiency. Subsequently, the slime mold algorithm is employed to efficiently optimize operating parameters under power and thermal constraints, achieving maximum SOEC efficiency and providing theoretical support for future dynamic control strategies. © 2025 Hydrogen Energy Publications LLC

关键词： Molds

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Spectrum Assignment of Stochastic Systems with Multiplicative Noise

arXiv

引用

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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