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Distributed algorithm for solving variational inequalities over time-varying unbalanced digraphs

control Theory and Technology 2024年第3期22卷 431-441页

作者： Yichen Zhang Yutao Tang Zhipeng Tu Yiguang Hong School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China Network Technology Laboratory Huawei Technologies Co.Ltd.Beijing 100095China Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

In this paper,we study a distributed model to cooperatively compute variational inequalities over time-varying directed ***,each agent has access to a part of the full mapping and holds a local view of the global set *** virtue of an auxiliary vector to compensate the graph imbalance,we propose a consensus-based distributed projection algorithm relying on local computation and communication at each *** show the convergence of this algorithm over uniformly jointly strongly connected unbalanced digraphs with nonidentical local *** also provide a numerical example to illustrate the effectiveness of our algorithm.

关键词： Variational inequality Distributed computation Multi-agent system Weight-unbalanced graph

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network synchronizability enhancement viaadding antagonistic interactions

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autonomous Intelligent systems 2024年第1期4卷 1-7页

作者： Yue Song Xiaoqin Liu Dingmei Wang Pengfei Gao Mengqi Xue Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai201210China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai201210China Department of Control Science and Engineering Tongji UniversityShanghai201210China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji UniversityShanghai201210China Lanzhou Longneng Electric Power Technology Company Lanzhou730070China

We discover a“less-is-more”effect that adding local antagonistic interactions(negative edge weights)can enhance the overall synchronizability of a dynamical network *** explain this seemingly counterintuitive phenomenon,a condition is established to identify those edges the weight reduction of which improves the synchronizability index of the underlying *** further reveal that this condition can be interpreted from the perspective of resistance distance and network community *** obtained result is also verified via numerical experiments on a 14-node network and a 118-node *** brings new thoughts and inspirations to the future directions of optimal network design problems.

关键词： Synchronizability Complex network Laplacian matrix Antagonistic interaction

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Research on the Mechanism of Rolling Bearing Dynamic System Considering Lubricant Changes

Research on the Mechanism of Rolling Bearing Dynamic System ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Zhang, Chengshi Liu, Tongtong Lu, Jiaqing Zhang, Chao School of Mechanical Engineering Inner Mongolia University of Science and Technology Inner Mongolia Autonomous Region Baotou014010 China Inner Mongolia Autonomous Region Key Laboratory of Intelligent Diagnosis and Control of Mechanical and Electrical Systems Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031702341

When a rolling bearing operates in a high-temperature environment, the distribution of the lubricant will change, which will cause the film thickness reduction coefficient of the rolling bearing oil film thickness to change, which will in turn cause the rolling bearing dynamic model equation to change. Given the problem that the traditional dynamic model equation does not consider the influence of lubricant changes, but because the change of lubricant will cause the film thickness reduction coefficient of the rolling bearing oil film thickness to change, resulting in a difference between the dynamic simulation signal and the actual signal, this paper considers the lubricant. The influence of various factors with temperature changes is proposed to study the mechanism of rolling bearing dynamic systems considering changes in lubricant. First, the changing trend of the film thickness reduction coefficient of the rolling bearing oil film thickness with temperature is analyzed;secondly, the functional relationship obtained above is substituted into the traditional dynamic model;finally, the simulation signal of the rolling bearing dynamic model considering the change of lubricant is compared with the experiment The signals are analyzed comparatively. Compared with traditional rolling bearing dynamic system mechanism research, the mechanism study of rolling bearing dynamic systems that consider lubricant changes considers more comprehensive factors, is closer to real working conditions, and is closer to experimental signals. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Roller bearings

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Chimera-inspired dynamics: When higher-order interactions are expressed differently

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Physical Review E 2024年第4期110卷 044204页

作者： Xinrui Ji Xiang Li Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous Systems The Frontiers Science Center for Intelligent Autonomous Systems and The State key laboratory of Intelligent Autonomous Systems Department of Control Science and Engineering College of Electronics and Information Engineering

The exploration of chimera-inspired dynamics in nonlocally coupled networks of Kuramoto oscillators with higher-order interactions is still in its nascent stages. Concurrently, the investigation of collective phenomena in higher-order interaction networks is gaining attraction. Here, we observe that hypergraph networks tend to synchronize through lower-order interactions, whereas simplicial complex networks exhibit a preference for higher-order interactions. This observation suggests that higher-order representations manifest substantial differences in chimera-inspired synchronization regions. Moreover, we introduce an explicit expression for identifying the chimera state. With a comprehensive basin stability analysis and the interplay of pairwise and higher-order interaction strengths, the emergence of the chimera state is inherent in high-order interaction networks. Our findings contribute to the understanding of chimera-inspired dynamics in higher-order interaction networks.

关键词： Chimera states Continuous phase transition Coupled oscillators Synchronization Synchronization transition

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The Slippage Model of Outer Ring Faults in Deep Groove Ball Bearings Induced by Impact Forces Under Load

The Slippage Model of Outer Ring Faults in Deep Groove Ball ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wu, Yangbiao Zhang, Chao Liu, Guiyi Wu, Le Ouyang, Bing Qin, Feifan School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031734069

The study of fault mechanisms plays a crucial role in the field of fault diagnosis. The phenomenon of rolling element slippage is inevitable. In order to more accurately describe the phenomenon of rolling element slippage in the defective area, this paper employs the instantaneous center method and the theorem of three centers to represent the centerline velocity of the rolling element. Due to the change in linear velocity when the rolling element slips, the magnitude of the impact force is calculated according to the principle of collision. Finally, focusing on deep groove ball bearings as the research object, a fault dynamic model is established to simulate the slippage of the rolling element after being subjected to impact force in the defective area. The model is solved using the fourth-order Runge-Kutta method, and the results are simulated. Through experimental simulation analysis, the fault characteristic frequencies obtained from the proposed model are compared with theoretical values, with errors falling within the range of 1 to 2 Hz. Therefore, this provides preliminary validation of the correctness of the proposed model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep groove ball bearings

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Semi-Global Robust Practical Output Voltage Tracking for Single-Phase UPS Inverters via Sampled-Data control 42

Semi-Global Robust Practical Output Voltage Tracking for Sin...

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42nd Chinese control Conference, CCC 2023

作者： Zeng, Kaiji Liu, Wei Sun, Weijie Liu, Weidong Ministry of Education School of Automation Science and Engineering South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Guangzhou510641 China

ISBN: (纸本)9789887581543

This paper deals with the sampled-data semi-global robust practical output voltage tracking problem for single-phase voltage source uninterruptible power supply inverters. We construct an aperiodic sampled-data state feedback control law in an internal model principle framework. Lyapunov analysis shows that as long as the upper bound of the sampling time interval of the controller is less than an explicitly computable threshold, our problem can be handled by the proposed sampled-data control law. And the tracking error is guaranteed to approach a given neighborhood of the origin asympotically. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Uninterruptible power systems

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Decomposing Visual and Semantic Correlations for Both Fully Supervised and Few-Shot Image Classification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第4期5卷 1658-1668页

作者： Zhang, Chunjie Zheng, Xiaolong Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China University of Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems The State of Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence Beijing100190 China

Most image classification methods are designed to either boost the classification accuracies with abundant supervision, or cope with the shortage of supervision information. This is often achieved by using the visual and semantic information of other sources. However, these methods use the visual and semantic information within the same class independently, leaving their intrinsic correlations unconsidered. Objects and disturbing components as well as noise exist on the same image. Besides, semantic representations also contain noisy information. To solve the problems mentioned above, we propose a novel method for both fully supervised image classification and few-shot image classification by decomposing visual and semantic correlations. We jointly explore the intrinsic correlations of visual and semantic information of images within the same class. For each class, we decompose its visual and semantic correlations using low-rank and sparse constraint respectively. The decomposed low-rank parts character the intrinsic correlations of images can be used in a linear transformation way. Using the decomposed parts of each class, Classification can be achieved by reconstruction error minimization. We conduct experiments on several datasets for both fully supervised image classification and few-shot image classification. Experimental results well show the effectiveness of the proposed method. © 2020 IEEE.

关键词： Semantics

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A Novel Tandem Ducted Fan UAV Attitude control Based on Cascade PID controller 42

A Novel Tandem Ducted Fan UAV Attitude Control Based on Casc...

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42nd Chinese control Conference, CCC 2023

作者： Yu, Ziqi South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong Guangzhou510640 China

ISBN: (纸本)9789887581543

In this paper, we introduce a novel tandem ducted fan unmanned aerial vehicle (UAV) and focus on the attitude control problem of it. Firstly, the structural layout of this new vehicle is introduced, then the force analysis and mathematical formula are performed based on kinematic and dynamical formulas. Secondly, this section is not only focuses on the degsign of controller but also the analysis of its advantages. For example, how they can improve system performance through frequency domain analysis, implementation of specific algorithms. Thirdly, an outdoor flight experiment is completed. The experimental process is as follows: after having the appropriate parameters, the vehicle is first allowed to fly to a height of about 10 meters and hover down, and then three attitude angle changes are performed. Finally, we conclude that the cascade PID controller for this type of UAV attitude control is simple, practical and can cope with many flight conoditions and indicate the shortcomings of this dissertation and future work. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Robust control

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Variational Mode Decomposition Guided by Time-Frequency Domain Difference Information 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Fei, Hongbo Zhang, Chao Xu, Shuai Zhang, Jing Wu, Le School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

To address the difficulty of extracting fault features of rolling bearings in noisy environments, and the issues where the main effects of Variational Mode Decomposition (VMD) are influenced by the decomposition level and penalty factor, a method based on time-frequency domain difference information-guided Variational Mode Decomposition for rolling bearing fault feature extraction is proposed. Initially, the constraints in VMD decomposition are utilized as discrimination conditions, constructing similarity coefficient differences and energy difference ratios as convergence criteria to find the optimal parameter combination. The IMF component with the maximum envelope peak factor is selected for envelope demodulation to determine the fault type. Simulation and experimental results demonstrate that this method can extract fault features from noise interference, confirming its effectiveness. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Variational mode decomposition

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Composite Fault Diagnosis of VMD-FastICA Bearing Based on Parameter Optimization

Composite Fault Diagnosis of VMD-FastICA Bearing Based on Pa...

引用

UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering network, TEPEN 2023

作者： Zhang, Chao Fei, Hongbo Wu, Le Da, L.V. School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014000 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014000 China

ISBN: (纸本)9783031494123

Rolling bearings are one of the most commonly used bearing components in rotating machinery and are also one of the most prone to failure. Therefore, the diagnosis of the condition of rolling bearings is of significant importance for safety and economy. In practical engineering, bearings are often interfered with by vibration signals from other components, which makes it difficult to extract the fault characteristic information of bearings due to noise or other signals. In this paper, to address the problem of difficulty in extracting compound fault characteristic information of rolling bearings under strong noise background, a feature extraction method based on sparrow algorithm optimized VMD parameters and energy entropy and envelope entropy mean minimization is proposed, and combined with FastICA to achieve signal separation, denoising, and feature enhancement. This method is applied to the fault feature extraction of simulated signals, achieving denoising and feature enhancement of separated signals. The results of simulation and experimental analysis demonstrate the feasibility of this method. Furthermore, a comparison with other methods is conducted to validate the superiority of this method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Roller bearings

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