检索结果-内蒙古大学图书馆

2023 International Conference on Smart Electrical Grid and Renewable Energy, SEGRE 2023

作者： Wang, Naixiao Cai, Xinlei Xu, Zhuofan Guo, Yufeng Zhang, Tingxiang China Southern Power Grid Company Limited Electric Power Dispatching and Control Center of Guangdong Power Grid Co Guangzhou China Harbin Institute of Technology School of Electrical Engineering and Automation Harbin China

ISBN: (纸本)9798350323269

In order to quantify the uncertainty of regional wind power generation, this paper proposes a probabilistic forecasting method of wind power based on attention mechanism and bidirectional long short-term memory (Bi-LSTM). First, data cleaning is performed on the historical wind power data, and a feature set for prediction model training is constructed. Then, to make the prediction model selectively focus on the information with strong correlation, while ignoring the information with weak correlation, an attention mechanism is introduced to capture the dependencies and relationships between different parts of the input. Afterwards, a Bi-LSTM is used to construct the forecasting model, which realized the long-term memory of the power sequence effectively reduces the occurrence of falling into local optimum. Finally, the currently generated deterministic forecasts are compared with past forecasts, the most similar past forecasts are selected, and the corresponding observations are used to generate probabilistic forecasts. © 2023 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Herdability of Nash equilibrium in neighbour-based game control system

引用

International Journal of control 2025年

作者： Guo, Junhao Ji, Zhijian Liu, Yungang Lin, Chong Institute of Complexity Science College of Automation Qingdao University Qingdao China Shandong Key Laboratory of Industrial Control Technology Qingdao China School of Control Science and Engineering Shandong University Jinan China

The game-based control system is composed of a regulator and underlying agents. The regulator first makes a decision, and then each agent optimises its own payoff function to reach the possible Nash equilibrium of the non-cooperative dynamic game. When the number of regulators in the system is greater than 1, the underlying agents naturally have the problem of connecting different regulators, which can be reflected in the topological structure. Therefore, this paper proposes the neighbour-based game control system (NBGCS) with multiple regulators. Then, we define the herdability of game-based systems and provide the necessary and sufficient conditions for achieving this performance. In addition, we describe the herdability by graph theory, and draw the following conclusion: when the system is herdable, the graph corresponding to the game controllability matrix is strategy-connectable. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： controllability

来源：评论

学校读者我要写书评

暂无评论

Design and Development of Wearable Flexible Mechanical Arm Based on Iterative Learning control

Design and Development of Wearable Flexible Mechanical Arm B...

引用

2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Cui, Ze Xie, Lang Chen, Zenghao Tang, Yue Kou, Lang Bao, Peng Shanghai University School of Mechatronic Engineering and Automation Shanghai China Shanghai Aerospace Control Technology Institute Shanghai201109 China State Key Laboratory of Shield Machine and Boring Technology Zhengzhou450001 China

ISBN: (纸本)9798350325706

In this paper, the concept of "wearable"and "flexible"is combined to design and develop a wearable flexible robot arm, which can realize multi-person collaboration and human-computer interaction by adapting the corresponding end-effector. The main work includes: design and research on the structure and manufacturing process of wearable flexible robotic arm, mainly designing a casting molding process based on spiral compression scheme, and completing the design and manufacturing process of flexible robotic arm;A closed-loop control system for the flexible manipulator was built, and a control strategy based on the combination of iterative learning control and convolutional neural network was proposed. Through model training and simulation, it was proved that the proposed method can effectively improve the control accuracy of the end of the manipulator. An experimental test platform for the robotic arm was built, and related experiments were conducted. The experimental results showed that the wearable flexible robotic arm developed in this paper had a certain degree of completion, its motion effect and control accuracy reached the design expectations, and it had certain application prospects. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis of Quadrotor UAV Propeller with Local-Global Attention-Based Graph Neural Networks 13

Fault Diagnosis of Quadrotor UAV Propeller with Local-Global...

引用

13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Wang, Zhiwei Liang, Shaojun Sun, Ye Yang, Yi Wang, Yanwei Zheng, Ying School of Artificial Intelligence and Automation Huazhong University of Science and Technology Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan430074 China School of Ordnance Sergeant Army Engineering University Wuhan430075 China School of Mechanical & Electrical Engineering Wuhan Institute of Technology Wuhan430073 China

ISBN: (纸本)9798350361674

With the wide application of Quadrotor Unmanned Aerial Vehicles (QUAV) in military and civilian fields, its flight reliability problem has become a hot research topic. The propellers, which are the important components relating to the performance of QUAV, play a central role in safe flight. Traditional data-driven fault diagnosis methods of QUAV are based on Euclidean distance, which cannot effectively capture the interrelationship of multiple variables. In this paper, we treat the fault diagnosis of QUAV propeller as a node classification problem in non-Euclidean infinite dimensional space by introducing the method of Local-Global Attention-based Graph Neural Network (LGA-GNN). First, the graph topology is constructed using the KNN method based on the real flight log of the QUAV. Then, the local and global attention strategies are integrated to form a graph-based collaborative feature extraction model. Finally, a unified end-to-end fault diagnosis framework tailored for QUAV is proposed. In the experiment section, real flight data of QUAV with different propeller fault conditions are collected, and the effectiveness and superiority of the proposed method are verified by comparing with other methods based on real data. © 2024 IEEE.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Distributed Least-Squares Optimization Solvers with Differential Privacy

Distributed Least-Squares Optimization Solvers with Differen...

引用

American control Conference (ACC)

作者： Weijia Liu Lei Wang Fanghong Guo Zhengguang Wu Hongye Su Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou China Department of Automation Zhejiang University of Technology Hangzhou China

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This paper studies the distributed least-squares optimization problem with differential privacy requirement of local cost functions, for which two differentially private distributed solvers are proposed. The first is established on the distributed gradient tracking algorithm, by appropriately perturbing the initial values and parameters that contain the privacy-sensitive data with Gaussian and truncated Laplacian noises, respectively. Rigorous proofs are established to show the achievable trade-off between the (E, 8)-differential privacy and the computation accuracy. The second solver is established on the combination of the distributed shuffling mechanism and the average consensus algorithm, which enables each agent to obtain a noisy version of parameters characterizing the global gradient. As a result, the least-squares optimization problem can be eventually solved by each agent locally in such a way that any given (E, 8)-differential privacy requirement can be preserved while the solution may be computed with the accuracy independent of the network size, which makes the latter more suitable for large-scale distributed least-squares problems. Numerical simulations are presented to show the effectiveness of both solvers.

关键词： Differential privacy Privacy Accuracy Laplace equations Gaussian noise Distributed databases Cost function

来源：评论

学校读者我要写书评

暂无评论

Low-Carbon Economic Operation Optimization of Mine Integrated Energy System Considering Energy Supply Uncertainty

引用

Complex System Modeling and Simulation 2024年第3期4卷 258-273页

作者： Xiaokang Wu Yong Zhang Xiaotian Fei Hejuan Hu Xiaoyan Sun Dunwei Gong Xianfang Song North Automatic Control Technology Institute Taiyuan 030006China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China College of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266061China

Mine integrated energy system(MIES)can promote the uilliation of derived energy and achieve multi-energy complementation and ecological *** it gradually becomes an important focus for scientific carbon reduction and carbon *** reduce the impact of uncertain prediction differences on the system during the process of using mine derived energy,a low-carbon economic operation strategy of MIES considering energy supply uncertainty is developed in this ***,based on the basic structure of energy flow in MIES,the energy-carbon flow framework of MIES is established for the low-carbon operation ***,considering carbon emission constraints,the low-carbon economic operation optimization model(LEOOM)is bullt for MIES to minimize operation cost and carbon ***,multiple uncertainties of the system are modeled and analyzed by using the robust model under the risk aversion strategy of information gap decision theory(IGDT),and a model conversion method is designed to optimize the low-carbon economic operation *** simulation results under three scenarios demonstrate that compared to the existed economic dispatching models,the proposed model achieves a 30%reduction in carbon emission while the operational cost of MIES only is increased by 2.1%.The model ffiently mitigates the carbon emission of the system,and the proposed uncertain treatment strategy can significantly improve the robustness of obtained operation plans.

关键词： mine integrated energy system uncertainty information gap decision theory(IGDT) low-carbon economic dispatch

来源：评论

学校读者我要写书评

暂无评论

A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments

引用

Science China(Technological Sciences) 2023年第10期66卷 2882-2896页

作者： ZHANG Xin ZHOU Hao LIU JinGuo JU ZhaoJie LENG YuQuan YANG ChenGuang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China University of Chinese Academy of Sciences Beijing 100049China School of Computing University of PortsmouthPortsmouth PO13HEUK Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhen 518055China Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Compliant interaction control is a key technology for robots performing contact-rich manipulation *** design of the compliant controller needs to consider the robot hardware because complex control algorithms may not be compatible with the hardware performance,especially for some industrial robots with low bandwidth *** paper focuses on effective and easy-to-use compliant control algorithms for position/velocity-controlled *** by human arm stiffness adaptation behavior,a novel variable target stiffness(NVTS)admittance control strategy is proposed for adaptive force tracking,in which a proportional integral derivative(PID)variable stiffness law is designed to update the stiffness coefficient of the admittance function by the force and position ***,its stability and force-tracking capability are theoretically *** addition,an impact compensator(Impc)is integrated into the NVTS controller to enhance its disturbance-suppression capability when the robot is subjected to strong vibration disturbances in complicated surface polishing *** proposed controllers are validated through four groups of experimental tests using different robots and the corresponding results demonstrate that they have high-accuracy tracking capability and strong adaptability in unknown environments.

关键词： compliant interaction control force tracking PID variable stiffness impact compensator unknown environments

来源：评论

学校读者我要写书评

暂无评论

Adaptive Decentralized Asymptotic Tracking control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections

引用

IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 173-186页

作者： Ben Niu Jidong Liu Ding Wang Xudong Zhao Huanqing Wang College of Information Science and Engineering Shandong Normal UniversityJinan 250014China School of Artificial Intelligence Nankai UniversityTianjin 300071China Faculty of Information Technology Beijing University of TechnologyBeijing 100124 State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Control Science and Engineering Dalian University of TechnologyDalian 116023China Department of Mathematical Science and Automatization Institute Bohai UniversityJinzhou 121000China

An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections,unknown time-varying parameters,and ***,by employing the intrinsic properties of Gaussian functions for the interconnection terms for the first time,all extra signals in the framework of decentralized control are filtered out,thereby removing all additional assumptions imposed on the interconnec-tions,such as upper bounding functions and matching ***,by introducing two integral bounded functions,asymptotic tracking control is ***,the nonlinear filters with the compensation terms are introduced to circumvent the issue of“explosion of complexity”.It is shown that all the closed-loop signals are bounded and the tracking errors converge to zero *** the end,a simulation example is carried out to demonstrate the effectiveness of the proposed approach.

关键词： Adaptive decentralized control asymptotic tracking control large-scale nonlinear systems unknown strong interconnections

来源：评论

学校读者我要写书评

暂无评论

Speed Profile Optimization for Autonomous Electric Bus in Urban Area: Based on Service Route Parameter in Thailand

Speed Profile Optimization for Autonomous Electric Bus in Ur...

引用

2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Muankhaw, Theerapol Pathumwan Institute of Technology Faculty of Science and Technology Industrial Technology and Innovation Management Bangkok Thailand Bansomdejchaopraya Rajabhat University Faculty of Engineering and Industrial Technology Electrical Engineering and Automation Control Systems Bangkok Thailand Rajamangala University of Technology Faculty of Engineering Department of Electrical Engineering Thanyaburi Pathumthani Thailand

ISBN: (纸本)9798350344585

This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits. © 2023 IEEE.

关键词： Electric buses

来源：评论

学校读者我要写书评

暂无评论

GGIMN: Gravity Gradient Image Matching Network with Adaptive Adjoint Smoothing for AUV Navigation

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Li, Tianjiao Wang, Bo Song, Bao Deng, Zhihong Fu, Mengyin Beijing Institute of Technology School of Automation Beijing100081 China Tianjin University of Technology School of Electrical Engineering and Automation Tianjin300382 China Beijing Institute of Technology Engineering Research Center of the Ministry of Education for Navigation Guidance and Control Technology School of Automation Beijing100081 China Nanjing University of Science and Technology Nanjing210014 China

Gravity gradient-aided navigation is a promising navigation method for autonomous underwater vehicle (AUV), in which matching algorithm is its key technology. Image matching algorithms have higher matching accuracy and information utilization than single point matching and sequence matching. However, the spatial domain image feature matching ability is weak in areas with insignificant feature changes due to the uneven feature distribution in the gravity gradient reference map. To break through this limitation and solve the problem of insufficient spatial domain image feature matching ability, we propose a gravity gradient image matching network (GGIMN) with adaptive adjoint smoothing for AUV navigation and positioning. First, a training set for GGIMN with equal numbers of positive and negative samples is constructed by preparing the gravity gradient reference map and fitting the gravity gradient measured map. Then, the feature extraction part of MatchNet is expanded to construct a deep learning network with five gravity gradient twin towers in parallel. Subsequently, an adaptive adjoint smoothing method that combines the idea of sequence matching is proposed to solve the problem of unsmooth matching trajectory and further improve the matching accuracy. Finally, the GGIMN is trained offline, and the gravity gradient map is matched and positioned online. The results of marine experiments show that the GGIMN has higher matching and positioning accuracy, and the average positioning error is reduced beyond 70% compared with onedimensional matching algorithms such as single-point iteration and sequence matching. © 1967-2012 IEEE.

关键词： Image matching

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：