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检索条件"机构=Tianjin Key Laboratory for Control Theory& Applications in Complicated System"

共 820 条记录，以下是11-20 订阅

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Uncertainty Treatment of Integrated Energy system Based on Scenario Reduction Method 20

Uncertainty Treatment of Integrated Energy System Based on S...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, Caiwei Wu, Yanjuan Cong, Peizhi He, Yuzhe Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In the context of high permeability of renewable energy, a large number of uncertain energy sources, such as scenery, have brought a huge impact on the security and stability of the comprehensive energy system. In order to reduce the impact of renewable energy on the new power system and improve the system stability, In this paper, a comprehensive energy system of the park is set up, which consists of three kinds of energy loads including source side electricity, heat, gas and scenery, and electric heat. On this basis, Monte Carlo method is adopted to simulate multiple sets of scenes respectively for the scenery output. On this basis, scene reduction method is adopted to reduce them to obtain the final equivalent force diagram, so as to reduce the influence of the uncertainty of scenery on the system stability. Finally, the effectiveness of the proposed method is verified by simulation analysis. © 2023 IEEE.

关键词： Monte Carlo methods

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Named Entity Recognition in Chinese Medical Texts Based on RoBERTa-WWM-IDCNN-CRF 25

Named Entity Recognition in Chinese Medical Texts Based on R...

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25th IEEE China Conference on system Simulation Technology and its Application, CCSSTA 2024

作者： Tang, Lan Kong, Jie Xu, Liang Xi'an Shiyou University School of Computer Xi'an China Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems School of Electrical Engineering and Automation Tianjin China

ISBN: (纸本)9798350366600

Electronic medical records and doctor-patient conversations contain a wealth of useful information, such as disease symptoms, drug names, and cure cycles. Traditional deep learning approaches utilize bidirectional recurrent neural networks to encode text, which cannot effectively capture long-distance dependencies in text. In order to identify medical entity types in various texts more accurately, a named entity recognition approach based on RoBERTa-WWM-IDCNN-CRF is proposed. This approach introduces the RoBERTa-WWM pre-trained model, in order to improve the overall understanding of long Chinese texts for the first time. The model generates semantic representations containing prior knowledge. Then, the generated semantic representations are feed to the IDCNN to extract sentence level characteristics. Finally, the global optimal solution is obtained and the results of the named entity are produced through the CRF. The experiment indicates that the improvement of F1 score, accuracy, and recall of RoBERTa-WWM-IDCNN-CRF model are 7.94%, 4.52% and 10.02% comparing with the classical BiLSTM-CRF model. © 2024 IEEE.

关键词： Convolutional neural networks

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Based on Hybrid Densenet-121 with Support Vector Machine Algorithm for Lettuce and Chili 20

Based on Hybrid Densenet-121 with Support Vector Machine Alg...

引用

20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： He, Yuzhe Wu, Yanjuan Wang, Caiwei Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In this paper, to improve the recognition accuracy of Densenet-121, we combine Densenet-121 with SVM to generate a new network Densenet-121-SVM. In this paper, the two datasets are combined to generate a new dataset named Mixed-dataset, which has four plants, namely: Lettuce, Chili, Chinee apple, and Lantana, and this dataset is used to train the network. Finally, the recognition accuracies of SVM, Densenet121 and Densenet-121-SVM are 84.144%, 96.211% and 98.181%, respectively, and it can be seen that the accuracy of Densenet-121-SVM is improved by 14% and 1.97% compared to SVM and Densenet-121, respectively. © 2023 IEEE.

关键词： Lettuce

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Linear active disturbance rejection control of phase-shifted full-bridge converter based on improved particle swarm optimization algorithm 20

Linear active disturbance rejection control of phase-shifted...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, HongSen Wu, YanJuan Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In order to improve the dynamic performance and disturbance suppression ability of conventional PID control phase shift full-bridge converter, LADRC based on improved particle swarm optimization is proposed. The voltage loop transfer function of phase-shifted full-bridge converter is derived based on the state space average method. Secondly, LESO and LSEF are designed to estimate and compensate the external disturbance and internal uncertainty in real time. Finally, the advantages of linear active disturbance rejection controller are verified by simulation experiments. The experimental results show that the controller has better disturbance suppression performance and dynamic performance than the traditional PID controller. © 2023 IEEE.

关键词： controllers

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Real-time scheduling strategy for electric vehicles based on sliding window transmission optimization 20

Real-time scheduling strategy for electric vehicles based on...

引用

20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Cong, Peizhi Wu, Yanjuan Wang, Caiwei Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In order to reduce the impact of electric vehicle(EV) charging load on the power grid, a real-time optimal scheduling scheme for charging and discharging Evs is proposed. Firstly, the objective is to reduce charging costs and network loss costs, aiming to minimize the total cost of EVs at the current time. An EV dispatching model is established, the grid node acceptance capacity performance is analyzed by constructing a network loss sensitivity index, and the EV charging and discharging strategy is obtained in real time based on the time-of-use tariff of the grid load by means of a tide calculation and a sliding window variable speed optimization algorithm as well as a second-order convex optimization calculation method. Finally, the proposed strategy is verified to be effective in reducing the charging cost and network loss cost, and has good real-time flexible dispatching performance, using an improved IEEE 39-node distribution network as an example. © 2023 IEEE.

关键词： Electric vehicles

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Output Regulation for Multi-Quadrotor by Event-Triggered Mechanism

Output Regulation for Multi-Quadrotor by Event-Triggered Mec...

引用

International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Che, Shixing Gao, Qiang Ji, Yuehui Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin China

ISBN: (纸本)9789811581540

To accomplish the stable tracking of the multi-quadrotor, an attitude controller based on output regulation and event triggered control (ETC) is proposed to save communication and computing resources effectively. Aiming at the problems of asymptotically tracking and rejecting disturbances, a dynamic compensator, i.e., a novel internal model is designed to convert the output regulation problem of the multi-quadrotor system into the robust stabilization problem of augmented system. The designed internal model studies the desired state and desired input for each quadrotor which depends on the sampled signal of the adjacent quadrotor and itself. To this end, a novel distributed event triggered mechanism (DETM) that exclude Zeno phenomenon and a novel distributed event triggered control law (DETCL) are adopted. The stability and boundedness of all signals in the multi-quadrotor system are proved by Lyapunov method. At last, numerical simulation verify the availability of the controller in providing satisfactory tracking response and saving control energy. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Attitude control

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Research on operation optimization of rural hybrid renewable energy systems based on Nash bargaining 8

Research on operation optimization of rural hybrid renewable...

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8th International Conference on Energy system, Electricity, and Power, ESEP 2023

作者： Zhuang, Xin Gao, Qiang Xu, Zhao Chen, Jiaqi Zhang, Zhengyang Liu, Junjie College of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Complex System Control Theory and Applications Tianjin300384 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

The Rural Hybrid Renewable Energy system (RHRES) holds great significance as a prospective energy system development. Ensuring its economic viability and low-carbon operation is crucial in order to fully harness its potential. Consequently, this research paper presents a multi-party cooperation operation model for RHRES, based on the Nash bargaining theory. To effectively differentiate between the various parties involved in carbon trading and guarantee the system's low-carbon operation, a ladder-type multi-party carbon trading model is formulated. The proposed RHRES cooperation operation model, grounded in Nash bargaining, is approached in two steps: determining the transaction volume between parties and resolving the transaction price through the concept of equivalent transformation. To address concerns regarding party privacy, the alternating direction multiplier method is employed for solution. The numerical findings demonstrate that the suggested cooperation operation model substantially reduces RHRES operating costs and carbon emissions, while enhancing the utilization of wind and solar power. Consequently, this model holds significant practical and promotional value. © 2024 SPIE.

关键词： Solar energy

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Research on Sign Language Gesture Division and Gesture Extraction in Complex Background

Research on Sign Language Gesture Division and Gesture Extra...

引用

2022 International Conference on Computer Vision, Application, and Algorithm, CVAA 2022

作者： Tian, Yifan Han, Fangfang Zhu, Minfeng Xu, Xiaoliang Li, Yadong School of Electrical Engineering and Automation China Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems China

ISBN: (纸本)9781510664036

Sign language plays an important role in information transmission and emotional communication between deaf-mute people and the outside world. With the development of artificial intelligence technology, the recognition, translation and generation of sign language based on digital image processing have attracted worldwide attention. In the field of sign language recognition, effective hand division and gesture extraction are the first and key steps, which directly affect the accuracy of sign language recognition. In this paper, a hand information extraction method based on depth image processing is proposed to solve the problem of sign language gesture extraction in complex background. For sign language speakers,hands are at the front of their bodies, so the depth images of sign language speakers can be collected by depth camera, and the complex background can be removed and hand information can be extracted by segmenting different color objects in the depth images. In this paper, the D435i camera of Inter is used to capture the depth image of the sign language speaker, and the HSV color space model based on the digital image is used for threshold processing of the fusion of hue components and brightness components to achieve the division of the hand position;through median filtering and mathematical morphology of digital image, division noise is removed and interference is reduced. Through skeleton extraction algorithm, the gesture gesture can be obtained. Experiments show that the proposed acquisition scheme and algorithm flow in this paper can effectively realize hand position division and gesture extraction in complex background conditions, and provide a good foundation for subsequent gesture recognition and expression. © 2023 SPIE.

关键词： Morphology

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Research on Hearing-Impaired EEG Emotion Recognition Based on Deep Residual Shrinkage Networks 42

Research on Hearing-Impaired EEG Emotion Recognition Based o...

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42nd Chinese control Conference, CCC 2023

作者： Cheng, Meiyi Gao, Qiang Bai, Zhongli Chen, Yirui Liu, Yang Song, Yu School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300382 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin300382 China

ISBN: (纸本)9789887581543

With the development of affective computing and computer science, electroencephalogram (EEG) based emotion recognition has attracted much more attention. In this paper, we collected EEG signals from fifteen healthy people and fifteen hearing-impaired people when they were watching five kinds of emotional pictures (fear, anger, sadness, happiness and neutral). The collected EEG signals are preprocessed to remove artifacts by independent component analysis (ICA). Then the differential power spectral density, entropy, and wavelet entropy features were extracted (PSD, DE, WE). The Deep Residual Shrinkage Networks (DRSNs) were composed of residual building units (RBU s) and an attention mechanism was used to capture the representative features, and then made a classification. The classification results prove that using DE as a feature for classification is better than other features, with an average accuracy being 76.35% and 80.47% for the hearing-impaired group and the normal group, respectively. Moreover, from the brain topography, we found that there are certain differences in brain function between hearing-impaired and healthy people. © 2023 Technical Committee on control theory, Chinese Association of Automation.

关键词： Electroencephalography

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Path Tracking Motion control Method Of Tracked Robot Based On Improved LQR control 41

Path Tracking Motion Control Method Of Tracked Robot Based O...

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第41届中国控制会议

作者： Jianyun Ni Yong Wang Hao Li Helei Du Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems School of Electronic Engineering and Automation Tianjin University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In order to enhance the trajectory tracking control performance of tracked mobile robot,an improved LQR lateral motion control method is ***,the robot tracking error kinematics model is constructed by using Lagrange function method,and the linear quadratic regulator controller(LQR) and feedforward controller of the tracked mobile robot are ***,the parameters of LQR controller are analyzed,the Q and R weight coefficient matrix of LQR controller is optimized,and the fast rolling optimization algorithm of lateral tracking control based on path tracking error is *** this way,the improvement of the LQR controller is realized,and the adaptability and control accuracy of the controller and the dynamic performance of the system are ***,test the designed controller through Matlab/Simulink *** simulation results show that the improved LQR controller can track the target path well,and can control the distance deviation and heading deviation in a small range.

关键词： Tracked Mobile Robot LQR Path Tracking Motion control

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