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Harnessing Trend Theory to Enhance Distributed Proximal Point Algorithm Approaches for Multi-Area Economic Dispatch Optimization

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computers, Materials & Continua 2025年第3期82卷 4503-4533页

作者： Yaming Ren Xing Deng College of Mechanical and Control Engineering Guilin University of TechnologyGuilin541006China School of Computer Jiangsu University of Science and TechnologyZhenjiang212003China

The exponential growth in the scale of power systems has led to a significant increase in the complexity of dispatch problem resolution,particularly within multi-area interconnected power *** complexity necessitates the employment of distributed solution methodologies,which are not only essential but also highly *** the realm of computational modelling,the multi-area economic dispatch problem(MAED)can be formulated as a linearly constrained separable convex optimization *** proximal point algorithm(PPA)is particularly adept at addressing such mathematical constructs *** study introduces parallel(PPPA)and serial(SPPA)variants of the PPA as distributed algorithms,specifically designed for the computational modelling of the *** PPA introduces a quadratic term into the objective function,which,while potentially complicating the iterative updates of the algorithm,serves to dampen oscillations near the optimal solution,thereby enhancing the convergence ***,the convergence efficiency of the PPA is significantly influenced by the parameter *** address this parameter sensitivity,this research draws on trend theory from stock market analysis to propose trend theory-driven distributed PPPA and SPPA,thereby enhancing the robustness of the computational *** computational models proposed in this study are anticipated to exhibit superior performance in terms of convergence behaviour,stability,and robustness with respect to parameter selection,potentially outperforming existing methods such as the alternating direction method of multipliers(ADMM)and Auxiliary Problem Principle(APP)in the computational simulation of power system dispatch *** simulation results demonstrate that the trend theory-based PPPA,SPPA,ADMM and APP exhibit significant robustness to the initial value of parameter c,and show superior convergence characteristics compared to the residual balancing ADMM.

关键词： Multi-area economic dispatch problem proximal point algorithm trend theory

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An Influence Maximization Algorithm Based on Improved K-Shell in Temporal Social Networks

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computers, Materials & Continua 2023年第5期75卷 3111-3131页

作者： Wenlong Zhu Yu Miao Shuangshuang Yang Zuozheng Lian Lianhe Cui College of Computer and Control Engineering of Qiqihar University Qiqihar161006China College of Teacher Education of Qiqihar University Qiqihar161006China

Influence maximization of temporal social networks(IMT)is a problem that aims to find the most influential set of nodes in the temporal network so that their information can be the most widely *** solve the IMT problem,we propose an influence maximization algorithm based on an improved K-shell method,namely improved K-shell in temporal social networks(KT).The algorithm takes into account the global and local structures of temporal social ***,to obtain the kernel value Ks of each node,in the global scope,it layers the network according to the temporal characteristic of nodes by improving the K-shell ***,in the local scope,the calculation method of comprehensive degree is proposed to weigh the influence of ***,the node with the highest comprehensive degree in each core layer is selected as the ***,the seed selection strategy of KT can easily lose some influential ***,by optimizing the seed selection strategy,this paper proposes an efficient heuristic algorithm called improved K-shell in temporal social networks for influence maximization(KTIM).According to the hierarchical distribution of cores,the algorithm adds nodes near the central core to the candidate seed *** then searches for seeds in the candidate seed set according to the comprehensive *** showthatKTIMis close to the best performing improved method for influence maximization of temporal graph(IMIT)algorithm in terms of effectiveness,but runs at least an order of magnitude faster than ***,considering the effectiveness and efficiency simultaneously in temporal social networks,the KTIM algorithm works better than other baseline algorithms.

关键词： Temporal social network influence maximization improved K-shell comprehensive degree

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Design and Verification of Parallel Hip Exoskeleton Considering Output Torque Anisotropy

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Journal of Bionic engineering 2024年第3期21卷 1305-1320页

作者： Jilong Xu Yunzhan Niu Fucai Liu Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan UniversityQinhuangdao066004China Key Laboratory of Industrial Computer Control Engineering of Heibei Province Yanshan UniversityQinhuangdao066004China College of Mechanical Engineering Yanshan UniversityQinhuangdao066004China

In rehabilitation training,it is crucial to consider the compatibility between exoskeletons and human legs in ***,most exoskeletons today adopt an anthropomorphic serial structure,which results in rotational centers that are not precisely aligned with the center of the hip *** address this issue,we introduce a novel exoskeleton called the Parallel Hip Exoskeleton(PH-Exo)in this ***-Exo is meticulously designed based on the anisotropic law of output *** the friction of the drive components,a dynamic model of the human-machine complex is *** analysis demonstrates that PH-Exo not only exhibits outstanding torque performance but also achieves high controllability in both flexion/extension and adduction/abduction ***,a robust controller is designed to address model uncertainty,friction,and external *** experiments indicate that under the control of the robust controller,each motor achieves excellent tracking performance.

关键词： Hip exoskeleton Parallel mechanism Misalignment Anisotropy Output torque

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Research of interleaved hysteresis control based on soft-switching power amplifier 7

Research of interleaved hysteresis control based on soft-swi...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Qiu, Guangjuan Zhang, Xinyue Wei, Jian Chen, Jingxin Peng, E. College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9798350359558

This paper delves into the interleaved hysteresis control method based on soft-switching power amplifiers. Firstly, through modeling and analysis, the basic topology and mode transition of the soft-switching power amplifier are clearly defined, revealing the conditions for implementing soft-switching. Secondly, a strategy for interleaved soft-switching hysteresis control is proposed, detailing its working principle, and the frequency range of the interleaved hysteresis loop is obtained through analysis. In order to optimize the design of the filter, this paper also deeply analyzes the design methods and parameter selection of the filter inductance, providing a theoretical foundation for the implementation of the power amplifier. The research results show that the proposed interleaved soft-switching hysteresis control method can reduce switch losses and electromagnetic interference, thereby improving the efficiency and reliability of the power amplifier. This study provides beneficial theoretical support and practical guidance for the application of high-performance motor drive systems. © 2024 IEEE.

关键词： Power amplifiers

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Optimizing Multimodal Emotion Recognition: Evaluating the Impact of Speech, Text, and Visual Modalities

Optimizing Multimodal Emotion Recognition: Evaluating the Im...

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2024 International Conference on Electronics and Devices, Computational Science, ICEDCS 2024

作者： Wang, Hongsheng Northeastern Forestry University College of Computer and Control Engineering Harbin China

ISBN: (纸本)9798331527624

This research aims to explore and optimize multimodal emotion recognition to enhance its performance. Multimodal emotion recognition involves analyzing information from different modalities - speech, vision, and text - to identify and classify emotional states accurately. This study investigates the roles of speech and text modalities and the auxiliary effect of visual modalities in multimodal emotion recognition. Study employs a two-stage multimodal information fusion neural network based on graph and attention mechanisms. The core idea is to achieve an effective fusion of multimodal information through graph convolutional networks and cross-modal attention mechanisms to improve emotion recognition performance. This study uses two datasets, Interactive Emotional Dyadic Motion Capture (IEMOCAP) and Multimodal Emotion Lines Dataset (MELD), to analyze the impact of speech and text modalities on visual modalities and their potential side effects. Results show that while the visual modality alone is less effective, adding speech or text significantly improves performance. However, introducing the speech modality and the text modality is less beneficial. Experimental outcomes reveal that the speech modality's effect is not as significant as the text modality, and its inclusion does not always lead to positive results, sometimes even degrading overall recognition performance. © 2024 IEEE.

关键词： Convolutional neural networks

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Research on lightweight algorithm for smoking detection based on improved YOLOv8 5

Research on lightweight algorithm for smoking detection base...

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5th International Conference on Electronic Communication and Artificial Intelligence, ICECAI 2024

作者： Zhou, Guorui Wang, Xingjian Northeast Forestry University College of Computer and Control Engineering Harbin China

ISBN: (纸本)9798350386943

In response to the issues of high computation and large model parameters in current smoking detection algorithms, making them difficult to deploy on edge devices, this paper proposes an improved lightweight YOLOv8 algorithm for real-time detection and accurate recognition of smoking targets. Firstly, the C2f module in the backbone of YOLOv8 is replaced with a lightweight ContextGuided module, which enhances the accuracy of small object detection through the analysis of feature context, and also reduces model complexity. Secondly, a slim-neck structure paradigm is adopted to further optimize the complexity of the neck part without affecting accuracy. Experimental results show that the improved algorithm reduces the number of parameters, computation, and model size by 17.94%, 20.990%, and 15.78%, respectively, with mAP@0.5 and FPS reaching 94.9% and 98. This ensures real-time and reliable detection. © 2024 IEEE.

关键词： ContextGuided lightweight slim-neck YOLOv8

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Research on the Integration and Application of computer Vision Technology in Intelligent Security Monitoring System 4

Research on the Integration and Application of Computer Visi...

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4th IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Wang, Hongsheng Northeast Forestry University College of Computer and Control Engineering Harbin China

ISBN: (纸本)9798350361643

In view of the existing security products limited use scenarios, deployment and use is not flexible, limited performance and other problems, design and implementation of intelligent video surveillance system based on face recognition technology. The key technology of the system, facial recognition, is deeply studied. The system includes: real-time alarm system, intelligent access control system, intelligent inspection system and so on. Real-time early warning of illegal behaviors can accurately identify the facial features of violations and push them to the relevant departments for early warning. Through intelligent access control, the security protection of the face is realized. The system can collect and mark the information in real time through the monitoring device set in the patrol area, thus greatly improving the efficiency of patrol. Experiments show that this method has high performance in face detection and recognition. It can well solve the safety protection requirements of large venues, theaters, warehouses and other large venues. © 2024 IEEE.

关键词： Face recognition

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Considering Approaches to Enhancing Power System Flexibility Through Distributed Energy Storage 7

Considering Approaches to Enhancing Power System Flexibility...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Ban, Mingfei Xue, Zhiwei College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9798350359558

In pursuit of the goal of reducing the wastage of renewable energy resources and enhancing the flexibility of the power system, this paper introduces a coordinated optimization scheduling strategy, incorporating distributed energy storage systems as a key component. This strategy comprehensively considers the real-time supply and demand dynamics of the power system, the energy storage status of distributed energy storage stations, and the generation forecasts of renewable energy. Based on these factors, a scheduling model for distributed energy storage systems is constructed. In the proposed scheduling strategy, optimize the allocation of energy resources to meet power demand by utilizing the operational costs of generating units, energy storage station operations, and load as objective functions. The primary aim of the model is to enhance power system flexibility through peak-shifting of renewable energy generation. To validate the effectiveness of the model, utilized MATLAB for its solution and, through practical case studies, verified the model's performance. The case study results demonstrate that the proposed distributed energy storage system strategy effectively reduces wind curtailment rates while simultaneously enhancing the flexibility of power system scheduling. © 2024 IEEE.

关键词： Renewable energy

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Harmonic Current Suppression for Open-End-Wingding PMSM Based on Complex Vector Proportional Integral controller 7

Harmonic Current Suppression for Open-End-Wingding PMSM Base...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Jiang, Chunyang Wu, Yan College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9798350359558

Because of the existence of zero-sequence circuit, the Open-End-Winding Permanent Magnet Synchronous Motor (OEW-PMSM) with common DC bus generates the zero-sequence current (ZSC) during operation. If the inverters' tube voltage drop and dead time are considered, the harmonics of three-phase current will be further increased, which will affect the operating efficiency and stability of OEW-PMSM. The traditional proportional resonant (PR) controller can't suppress the ZSC and the harmonic components of three-phase current very well. Therefore, a suppression method based on quasi proportional resonant (QPR) controller and complex vector proportional integral (CVPI) controller is proposed, which can suppress the three-phase current harmonics and ZSC by suppressing the harmonics in the d-q axis current and suppressing the ZSC through the zero-axis closed loop controller. The simulation results demonstrate that the proposed method can efficiently suppress the third, fifth and seventh harmonics of current and ZSC. © 2024 IEEE.

关键词： Two term control systems

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Neuroadaptive Containment control for Nonlinear Multiagent Systems With Input Saturation: An Event-Triggered Communication Approach

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3163-3173页

作者： Wang, Xin Zhang, Sen Li, Huaqing Zhang, Wei Li, Hongyi Huang, Tingwen Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

In this article, a neuroadaptive event-triggered containment control strategy combined with the dynamic surface control (DSC) approach is proposed for nonlinear multiagent systems (MASs) with input saturation. Based on the event-triggered communication mechanisms, the updates of neural network weight and controllers are implemented solely under triggering conditions of violation, which markedly reduces unnecessary communication resources and minimizes inefficient control costs compared with the traditional control method. Radial basis function neural networks (RBF NNs) are employed to handle the nonlinear uncertainties of MASs. Simultaneously, an adaptive compensatory mechanism is incorporated within the backstepping process to address the nonlinear effect posed by input saturation. Additionally, we demonstrate the system stability by extending the Lyapunov theorem to jump and continuous scenarios while excluding Zeno behavior, realizing that all followers can enter the convex hull constructed by leaders. Finally, the effectiveness of the proposed methodology is verified through application simulations. © 2013 IEEE.

关键词： Radial basis function networks

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