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2024 China automation Congress, CAC 2024

作者： Wang, Ao Yang, Zhao-Hua Wu, Qing-Fan Tang, Bo Zhou, Shuai-Jun Shi, Yang-Yang School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China School of Automation Beijing Institute of Technology Beijing China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9798350368604

Fast localization and tracking of multi-targets is of great significance in many fields such as guidance, area surveillance, and unmanned aerial vehicle detection, etc. Benefiting from the unique mechanism of single-pixel imaging, a single-pixel detection based tracking method with windowed geometrical moment detection is proposed to achieve fast multiple objects tracking. Fourier slice pattern is utilized to obtain a one-dimensional projection of the scene and design the window function, which is combined with zero-order geometric moment patterns to obtain the region of the multi-target at first. In the subsequent frame tracking, the window function of each target is combined with the three geometric moments patterns to obtain the center of mass position, and the window function is updated to realize the matching correlation, and the sampling rate can be as low as 0.0034%, which greatly reduces the sampling time to achieve fast tracking. With a modulated frame rate of 20kHz, tracking can be done at frame rates up to 2200 Hz. While the window overlaps, the window transformation, and multi-directional Fourier slice segmentation method are designed to solve the tracking error. A background subtraction method is applied in complex backgrounds. The simulations of a scene with a spatial resolution of 512 X 512 pixels are performed, and the results show that the proposed method tracks the localization of three targets with an error of less than one pixel in both horizontal and vertical directions. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1080-1099页

作者： Mai, Weijian Zhang, Jian Fang, Pengfei Zhang, Zhijun South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Southeast University School of Computer Science and Engineering Nanjing210096 China South China University of Technology Key Library of Autonomous Systems and Network Control Ministry of Education The School of Automation Science and Engineering Guangzhou510640 China Institute for Super Robotics Huangpu Guangzhou510555 China Nanchang University Jiangxi Thousand Talents Plan Nanchang330031 China Jishou University College of Computer Science and Engineering Jishou416000 China Guangdong Artificial Intelligence and Digital Economy Laboratory Pazhou Lab Guangzhou510335 China Shaanxi University of Technology Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Hanzhong723001 China Changsha Normal University School of Information Science and Engineering Changsha410100 China Guangdong University of Petrochemical Technology School of Automation Science and Engineering Institute of Artificial Intelligence and Automation Maoming525000 China

In the era of artificial intelligence generated content (AIGC), conditional multimodal synthesis technologies (e.g., text-to-image) are dynamically reshaping the natural content. Brain signals, serving as potential reflections of how the brain interprets external information, exhibit a distinctive one-to-many correspondence with various external modalities. This correspondence makes brain signals emerge as a promising guiding condition for multimodal synthesis (e.g., image, text, and audio), which is crucial for developing practical brain–computer interface systems and unraveling complex mechanisms underlying human perception. This survey comprehensively examines the emerging field of brain-conditional multimodal synthesis, termed AIGC-brain, to delineate the current landscape and future directions. To begin, related neuroimaging datasets and generative models are introduced as the foundation of AIGC-brain decoding and analysis. Next, we present a comprehensive taxonomy according to AIGC-brain methodologies, followed by task-specific representative work and implementation details to facilitate in-depth comparison and analysis. Quality assessments are then introduced for both qualitative and quantitative evaluation. Finally, this survey explores insights gained, outlining current challenges and prospects of AIGC-brain. As a pioneering survey, this article paves the way for future advances in AIGC-brain research. © 2020 IEEE.

关键词： Taxonomies

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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Data-Driven control of Distributed Event-Triggered Network Systems

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 351-364页

作者： Xin Wang Jian Sun Gang Wang Frank Allgower Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the Institute for Systems Theory and Automatic Control University of StuttgartStuttgart 70550Germany the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.

关键词： Data-driven control distributed event-triggered network system(ETS) linear matrix inequalitie(LMI) looped-functional stability

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Mechanical behavior of entangled metallic wire materials-polyurethane interpenetrating composites

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Defence Technology（防务技术） 2023年第2期20卷 120-136页

作者： Xiao-yuan Zheng Zhi-ying Ren Hong-bai Bai Zhang-bin Wu You-song Guo College of Mechanical Engineering and Automation Fuzhou UniversityFuzhou350116China Institute of Metal Rubber&Vibration Noise Fuzhou UniversityFuzhou350116China Gongbang Vibration Control Technology Co. LtdJiangsuJiangyin214431China

Composite materials exhibit the impressive mechanical properties of high damping and stiffness,which cannot be attained by employing conventional single *** these lines,a novel material architecture is presented in this work in order to fabricate composites with enhanced mechanical *** specifically,entangled metallic wire materials were used as the active matrix,whereas polyurethane was employed as the reinforcement *** a result,an entangled metallic wire material-polyurethane composite with high damping and stiffness was prepared by enforcing the vacuum infiltration *** top of that,the mechanical properties(loss factor,energy consumption,and average stiffness)of the proposed composite materials were characterized by performing dynamic tests,and its fatigue characteristics were verified by the micro-interface bonding,as well as the macro-damage *** impact of the density,preloading spacing,loading amplitude,and exciting frequency on the mechanical properties of the composites were also thoroughly *** extracted results indicate that the mechanical properties of the composites were significantly enhanced than those of the pure materials due to the introduction of interface ***,the average stiffness of the composites was about 10 times the respective value of the entangled metallic wire ***,a rise in the loading period leads to some failure between the composite interfaces,which reduces the stiffness property but enhances the damping dissipation ***,a comprehensive dynamic mechanical model of the composites was established,while it was experimentally *** proposed composites possess higher damping features,i.e.,stiffness characteristics,and maintain better fatigue characteristics,which can broaden the application range of the *** addition,we provide a theoretical and experimental framework for the research and applications in the field of metal ma

关键词： Entangled metallic wire material Composites materials Damping property Stiffness Fatigue characteristics

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Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries

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Journal of Energy Chemistry 2024年第5期92卷 738-758页

作者： Chuanxin Fan Kailong Liu Yaxing Ren Qiao Peng School of Automation Nanjing Institute of TechnologyNanjing 211167JiangsuChina School of Control Science and Engineering Shandong UniversityJinan 250100ShandongChina School of Engineering University of LincolnLincoln LN67TSUK Information Technology Analytics&Operations GroupQueen’s University BelfastBelfast BT95EEUK

Lithium-ion batteries are widely recognized as a crucial enabling technology for the advancement of electric vehicles and energy storage systems in the *** design of battery state estimation and control algorithms in battery management systems is usually based on battery models,which interpret crucial battery dynamics through the utilization of mathematical ***,the investigation of battery dynamics with the purpose of battery system identification has garnered considerable attention in the realm of battery *** methods in terms of linear and nonlinear response of lithium-ion batteries have emerged as a prominent area of study in this *** review has undertaken an analysis and discussion of characterization methods,with a particular focus on the motivation of battery system ***,this work encompasses the incorporation of frequency domain nonlinear characterization methods and dynamics-based battery electrical *** aim of this study is to establish a connection between the characterization and identification of battery systems for researchers and engineers specialized in the field of batteries,with the intention of promoting the advancement of efficient battery technology for real-world applications.

关键词： Lithium-ion battery Battery dynamics Nonlinear characterization Nonlinear battery model

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A Distributed Cooperative Tracking Algorithm for the Interception of Small Patrol UAVs 42

A Distributed Cooperative Tracking Algorithm for the Interce...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Haorui Liu, Yinghan Zhang, Jiawei Wang, Hui Xu, Hanhui School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China School of Automation Beijing Institute of Technology Beijing100081 China Institute of Navigation and Control Technology Control Department Beijing100089 China

ISBN: (纸本)9789887581543

In this paper, a distributed cooperative tracking algorithm is proposed for the small patrol UA V target tracking problem. By setting up a sensor network to realize the communication between missile clusters, we introduce a weighted information fusion and distribution method for multiple sensor nodes. Meanwhile, a trajectory shaping guidance law is derived for the three-dimensional space maneuver target striking problem. In the scenario of multi-missile UA V target interception, the simulation of multi-missile tracking and the striking process is completed to achieve accurate estimation of target position, velocity, and acceleration. The effectiveness and superiority of this cooperative tracking algorithm are verified through extensive simulations and comparisons. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Sensor nodes

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Quality-Relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-Supervised Dynamic Latent Variable Models

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 39-47页

作者： Zhou, Le Wang, Yaoxin Wu, Yuanqing He, Shenghuang Song, Zhihuan Zhejiang University of Science and Technology Department of Automation and Electrical Engineering Hangzhou310023 China Guangdong University of Technology Department of Automation Guangzhou510006 China Dongguan University of Technology Department of Computer Science and Technology Dongguan523808 China Ningbo Industrial Internet Institute Ningbo315012 China Zhejiang University Department of Control Science and Engineering Hangzhou310027 China

In modern industrial cyber-physical systems, a mass of process variables has been obtained by the high-sampling online sensors. Meanwhile, the key quality indexes are usually obtained infrequently from the laboratory. Hence, these quality variables are with low sampling rate. To avail of the complete process and quality variables with various sampling rates in the dynamic processes, a set of semi-supervised dynamic latent variable models are proposed for dynamic modeling and quality-relevant monitoring. The proposed models have built a unified structure to consider both the auto-correlations and cross-correlations between the process and quality variables with unbalanced sampling sizes. Hence, the feature extraction of the time series data is dynamically adjusted under the guidance of the quality variables. Then, the quality-relevant monitoring schemes are proposed, which is validated by a numerical case and an actual wastewater treatment process. © 2024 IEEE. All rights reserved.

关键词： Indexes Probabilistic logic Kalman filters Noise Cyber-physical systems Analytical models Parameter estimation Time series analysis Process monitoring Numerical models

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Research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning 7th

Research on Autonomous Decision-Making of Multi-UAV Air Comb...

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

作者： Zhou, Zhiming Qi, Hongmin Liu, Zhen Qian, Dianwei Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819733354

To solve the autonomous decision-making problem of multi-UAV air combat, a multi-UAV reinforcement learning self-game autonomous decision-making method for air combat with parameter sharing is proposed. Firstly, a self-game policy pool training framework is designed. The game ability of the multi-UAV autonomous decision-making model is improved by self-game confrontation with a policy pool containing different training generations. Secondly, a parameter-sharing mechanism is proposed to train homogeneous UAVs to improve the efficiency of reinforcement learning training and the utilization of interactive data. Finally, a multi-UAV autonomous decision-making model using the multi-agent deep deterministic policy gradient algorithm is designed so that it can explore effectively in the continuous action space. In addition, experiments are designed to verify the effectiveness and migration of the designed algorithm and training framework. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

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A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System 3

A Health Assessment Method Based on Directed Acyclic Graph a...

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3rd International Conference on Electrical engineering and control Science, IC2ECS 2023

作者： Zhou, Gongcheng Xiang, Gang Lin, Ruishi Li, Dongpeng Peng, Yu Wang, Hongyan Cui, Langfu Zhang, Qingzhen Li, Liang School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350382426

Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine. © 2023 IEEE.

关键词： Directed acyclic graph Health management Health status improved Mahalanobis-Taguchi system

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