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第三十四届中国控制会议

作者： CHEN Yang-Yang ZHANG Ya WEI Ping School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Department of Electronic Information Engineering Anhui Business College

ISBN: (纸本)9781467374439

This paper deals with the three-dimensional(3D) coordinated control of satellites formation motion along a set of given closed orbits, where each satellite has intrinsic second-order Lipchitz nonlinear dynamics and the commutation topology among satellites is directed. A projection-based orbit extension method is presented by extending our previous concentric compressing method. The control for the orbit-tracking subsystem and the formation motion subsystem are designed respectively at first, and then the overall closed-loop coordinated orbit-following system is regarded as a cascade system. By using tools from Input-toState stability(ISS) theory and the extension of Barbalat's lemma, it is shown the closed-loop coordinated orbit-tracking system is asymptotic stability if the directed communication topology contains a directed spanning tree. The effectiveness of the analytical results is verified by Satellite Tool Kit(STK).

关键词： Directed Coordinated Orbit-Tracking control,Second-Order Lipchitz Nonlinear satellites,Cascade System,Three-Dimensional Space

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HSE: A plug-and-play module for unified fault diagnosis foundation models

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Information Fusion 2025年 123卷

作者： Li, Qi Chen, Bojian Chen, Qitong Li, Xuan Qin, Zhaoye Chu, Fulei Department of Mechanical Engineering Tsinghua University Beijing 100084 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310058 China School of Mechanical and Electric Engineering Soochow University Suzhou 215000 China Belt and Road Joint Laboratory on Measurement and Control Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China

Intelligent Fault Diagnosis (IFD) plays a crucial role in industrial applications, where developing foundation models analogous to ChatGPT for comprehensive fault diagnosis remains a significant challenge. Current IFD methodologies are constrained by their inability to construct unified models capable of processing heterogeneous signal types, varying sampling rates, and diverse signal lengths across different equipment. To address these limitations, we propose a novel Heterogeneous Signal Embedding (HSE) module that projects heterogeneous signals into a unified signal space, offering seamless integration with existing IFD architectures as a plug-and-play solution. The HSE framework comprises two primary components: the Temporal-Aware Patching (TAP) module for embedding heterogeneous signals into a unified space, and the Cross-Dimensional Patch Fusion (CDPF) module for fusing embedded signals with temporal information into unified representations. We validate the efficacy of HSE through two comprehensive case studies: a simulation signal dataset and three distinct bearing datasets with heterogeneous features. Our experimental results demonstrate that HSE significantly enhances traditional fault diagnosis models, improving both diagnostic accuracy and generalization capability. While conventional approaches necessitate separate models for specific signal types, sampling frequencies, and signal lengths, HSE-enabled architectures successfully learn unified representations across diverse signal. The results from bearing fault diagnosis applications confirm substantial improvements in both diagnostic precision and cross-dataset generalization. As a pioneering contribution toward IFD foundation models, the proposed HSE framework establishes a fundamental architecture for advancing unified fault diagnosis systems. © 2025 Elsevier B.V.

关键词： Heterogeneous signal embedding Intelligent fault diagnosis Plug-and-play module Signal foundation model Signal fusion

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An unsupervised grid-based approach for clustering analysis

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Science China(Information Sciences) 2010年第7期53卷 1345-1357页

作者： YUE ShiHong1, WANG JeenShing2, TAO Gao1 & WANG HuaXiang1 1School of Electrical engineering and automation, Tianjin Key Laboratory of Process measurement and control, Tianjin University, Tianjin 300072, China 2department of Electrical engineering, National Cheng Kung University, Tainan 701, China 1. School of Electrical Engineering and Automation Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin 300072 China2. Department of Electrical Engineering National Cheng Kung University Tainan 701 China

In recent years, the growing volume of data in numerous clustering tasks has greatly boosted the existing clustering algorithms in dealing with very large datasets. The K-means has been one of the most popular clustering algorithms because of its simplicity and easiness in application, but its effciency and effectiveness for large datasets are often unacceptable. In contrast to the K-means algorithm, most existing grid-clustering algorithms have linear time and space complexities and thus can perform well for large datasets. In this paper, we propose a grid-based partitional algorithm to overcome the drawbacks of the K-means clustering algorithm. This new algorithm is based on two major concepts: 1) maximizing the average density of a group of grids instead of minimizing the minimal square error which is applied in the K-means algorithm, and 2) using grid- clustering algorithms to thoroughly reformulate the object-driven assigning in the K-means algorithm into a new grid-driven assigning. Consequently, our proposed algorithm obtains an average speed-up about 10-100 times faster and produces better partitions than those by the K-means algorithm. Also, compared with the K-means algorithm, our proposed algorithm has ability to partition any dataset when the number of clusters is unknown. The effectiveness of our proposed algorithm has been demonstrated through successfully clustering datasets with different features in comparison with the other three typical clustering algorithms besides the K-means algorithm.

关键词： clustering grid-based algorithm K-means algorithm

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Exponential Synchronization of Master-Slave Lur'e Systems via Intermittent Time-Delay Feedback control

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Communications in Theoretical Physics 2010年第10期 679-686页

作者：王一晶郝建娜左志强 Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University School of Electrical Engineering and Automation Tianjin University Department of Mathematics City University of Hong Kong

This paper concerns with the master-slave exponential synchronization analysis for a class of general Lur'esystems with time *** from the previous methods based on the differential inequality technique, a newapproach is proposed to derive some new exponential synchronization *** restriction that the control widthhas to be larger than the time delay is *** leads to a larger application scope for our ***, notranscendental equation is involved in the obtained result, which reduces the computational *** examples aregiven to validate the theoretical results.

关键词： exponential synchronization intermittent control delayed feedback control Razumikhin stabilitytheory Chua＇s circuits

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A novel immune feedback control algorithm and its applications

A novel immune feedback control algorithm and its applicatio...

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6th Annual Genetic and Evolutionary Computation Conference, GECCO 2004

作者： Qi, Zhen-Qiang Song, Shen-Min Yang, Zhao-Hua Hu, Guang-Da Zhang, Fu-En Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)3540223444

This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic model of immune system is founded. The model implicates two important processes in immune system. One is that antibodies (Ab) and killer T cells (Tkill) rapidly respond to the change of the number of antigens (Ag). Another is that suppressor T cells (Tsup) inhibit and adjust the number of Ab and Tkill. The model manifests the good performance that immune system can respond to foreign materials rapidly and stabilize itself simultaneously. In this paper, foreign disturbances, input errors and measurement noises are regarded as Ag. The process in which creature presents immune response, produces antibodies and removes antigens is regarded as the control process of disturbances eliminating and differences adjusting. So, we designed a novel control algorithm based on immune feedback principle (IFC). The results of simulation show that the IFC algorithm can make the system respond quickly and get to steady state rapidly, and has good noise-proof feature. Its performance is superior to that of ordinary controllers. It also shows that the IFC algorithm suits for controlling the large time-delay system especially. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Antibodies

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Image encryption based on double folding operation in fractional fourier transform domain

Image encryption based on double folding operation in fracti...

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2009 International Conference on Optical Instruments and Technology, OIT 2009

作者： Liu, Zhengjun Wang, Xiuying Liu, Shutian Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin 150001 China Department of Physics Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9780819478986

Based on fractional Fourier transform, the double folding operation is studied and introduced into image encryption. This method can implement a kind of the encoding with real number. This characteristic is convenient to the storage and transmission of the encrypted image. The corresponding experimental setup is similar to the scheme of double random phase encoding. With computer, some numerical simulations have been achieved. The analysis on the algorithm from the aspects of validity, security and robustness is made. The calculated results have been demonstrated that the algorithm is effective and has good security. © 2009 SPIE.

关键词： Encoding (symbols)

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A shaped annular beam tri-heterodyne confocal microscope with good anti-environmental interference capability

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Chinese Physics B 2007年第6期16卷 1624-1631页

作者：赵维谦冯政德邱丽荣 School of Information Engineering Beijing Institute of Technology Beijing 10081 China Department of Automation Measurement and Control Engineering Harbin Institute of Technology Harbin 150001 China

annular beam tri-heterodyne confocal microscope has been proposed to improve the anti-environmental interference capability and the resolution of a eonfoeal microscope. It simultaneously detects far-, on-, and near-focus signals with given phase differences by dividing the measured light path of the eonfoeal microscope into three sub-paths （signals）. Pair-wise real-time heterodyne subtraction of the three signals is used to improve the anti-environmental interference capability, axial resolution, and linearity; and a shaped annular beam super-resolution technique is used to improve lateral resolution. Theoretical analyses and preliminary experiments indicate that an axial resolution of about 1 nm can be achieved with a shaped annular beam tri-heterodyne confoeal microscope and its lateral resolution can be better than 0.2 um for A = 632.8 nm, the numerical aperture of the lens of the microscope is NA = 0.85, and the normalized radius e = 0.5.

关键词： confocal microscopy super-resolution surface measurements

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Wind Power Forecasting Methods Based on Deep Learning:A Survey

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Computer Modeling in engineering & Sciences 2020年第1期122卷 273-301页

作者： Xing Deng Haijian Shao Chunlong Hu Dengbiao Jiang Yingtao Jiang School of Computer Science Jiangsu University of Science and TechnologyZhenjiangChina School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjingChina Department of Electrical and Computer Engineering University of NevadaLas VegasUSA

Accurate wind power forecasting in wind farm can effectively reduce the enormous impact on grid operation safety when high permeability intermittent power supply is connected to the power *** to provide reference strategies for relevant researchers as well as practical applications,this paper attempts to provide the literature investigation and methods analysis of deep learning,enforcement learning and transfer learning in wind speed and wind power forecasting ***,wind speed and wind power forecasting around a wind farm requires the calculation of the next moment of the definite state,which is usually achieved based on the state of the atmosphere that encompasses nearby atmospheric pressure,temperature,roughness,and *** an effective method of high-dimensional feature extraction,deep neural network can theoretically deal with arbitrary nonlinear transformation through proper structural design,such as adding noise to outputs,evolutionary learning used to optimize hidden layer weights,optimize the objective function so as to save information that can improve the output accuracy while filter out the irrelevant or less affected information for *** establishment of high-precision wind speed and wind power forecasting models is always a challenge due to the randomness,instantaneity and seasonal characteristics.

关键词： Deep learning reinforcement learning transfer learning wind power forecasting

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Combining trajectory control and position control for autonomous mobile robot navigation 6

Combining trajectory control and position control for autono...

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6th European control Conference, ECC 2001

作者： Tarín, C. Brugger, H. Hofer, E.P. Tibken, B. Department of Measurement Control and Microtechnology Faculty of Electrical Engineering University of Ulm UlmD-89069 Germany Department of Automation and Control Faculty of Electrical Engineering and Information Technology University of Wuppertal WuppertalD-42119 Germany

ISBN: (纸本)9783952417362

In the present paper, we described the system architecture of the autonomous mobile robot B21 from RWI focussing on the double control loop implementing the kinematic control together with the underlying drive control. As a highly accurate drive control is taken for granted only the kinematic model is considered for trajectory and position control. In order to manage successfully demanding tasks in dynamic environments, a motion strategy combining trajectory control and position control is suggested. Two different examples where this combination is required are shown. When a self-localization error occurs, the starting point of the reference trajectory is far away from the actual position of the mobile robot. In such a case, to avoid re-planning a motion control strategy is implemented such that the robot finds again the starting point of the reference trajectory without crossing large parts of the unknown environment. When an unexpected obstacle appears on the planned path a collision avoidance manoeuvre is initiated. This manoeuvre also combines trajectory control and position control. Experimental results for both cases show the performance of the presented motion strategies. The used trajectory and position controllers are described. © 2001 EUCA.

关键词： Mobile robots

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Image-Based Fast Finite-Time Target Tracking control of Onboard Inertially Stabilized Camera Platform

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IEEE Transactions on Industrial Electronics 2024年第12期71卷 16409-16418页

作者： Sun, Xunhong Zhu, Wenwu Du, Haibo Chen, Weile Chen, Chih-Chiang Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Southeast University School of Automation Nanjing210096 China National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan

In this article, we investigate the problem of fast finite-time target tracking control of the inertially stabilized platform (ISP) with a camera that mounted on a mobile robot. At first, the kinematics of the onboard ISP target tracking system is established by the geographic coordinate and pinhole camera model, which includes the state-dependent uncertainties and external disturbances. Then, based on the image information captured by camera, a continuous image-based fast finite-time control algorithm is designed for target tracking. Rigorous analysis proves that the target can be tracked at the center of camera's view in finite time in the absence of disturbances. In the presence of disturbances, the tracking error can converge to a region around the origin in finite time. Simulation and experimental comparisons are presented to confirm the efficiency of the proposed method. © 1982-2012 IEEE.

关键词： Mobile robots

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