检索结果-内蒙古大学图书馆

IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 341-350页

作者： Ren, Hongru Long, Yinren Li, Hongyi Huang, Tingwen Guangdong University of Technology School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This paper investigates the group formation control problem for cyber-physical systems (CPSs) with random communication constraints. The distributed cloud computing system is constructed to divide agents into groups and establish communication between agents. A data-driven predictive control strategy is proposed by combining networked predictive control and model-free adaptive control method. The desired group formation control performance can be achieved and the three-channel random communication constraints of CPSs are actively compensated. Thisstrategy does not require the system model and relies solely on the system's I/O data for adaptive learning. Further analyses concludes the conditions for simultaneous reach stability and group formation of the closed-loop CPSs using the data-driven predictive control strategy. The effectiveness of the proposed strategy is validated by simulation results. © 2023 IEEE.

关键词： Distributed cloud

来源：评论

学校读者我要写书评

暂无评论

Silicon Optical Filter With Widely Tunable Bandwidth Driving by intelligent Algorithms

引用

Journal of Lightwave Technology 2025年第11期43卷 5358-5365页

作者： Duan, Jiazhu Liu, Cangli Zhang, Dayong Zhao, Xiangjie Liu, Li China Academy of Engineering Physics Institute of Fluid Physics Mianyang621900 China China Academy of Engineering Physics Mianyang621900 China China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

Capitalizing two silicon rings assisted a Mach-Zehnder interferometer (MZI) structure, we propose and demonstrate picometer narrowband optical filters featuring widely tunable bandwidths, high extinction ratios and low in-band ripples. By tuning the bandwidth of any ring or the resonance offset between the two rings, the filter bandwidth could be flexibly manipulated. Notably, by controlling the phase of the two rings and the MZI structures, the extinction ratios and shape factors of the filter could be commendably improved. It is worth mentioning that a genetic algorithm is employed to efficiently manipulate the various heaters on the optical filter, enabling the attainment of desired target filtering waveforms. Experimental results demonstrate the filter capability to widely adjust its 3dB-bandwidth while maintaining high extinction ratios, low in-band ripples and favorable shape factors. To the best of our knowledge, it is a record bandwidth tuning range among the algorithm-driven pm-narrowband optical filters. With the dominant advantages and high performance, the proposed optical filters are competent to dynamically process the on-chip narrowband signals. © 1983-2012 IEEE.

关键词： Mach-Zehnder interferometers

来源：评论

学校读者我要写书评

暂无评论

Frequency-domain analysis for cooling load prediction: A Multi-Scale FourierGNN Crossformer approach

引用

International Journal of Refrigeration 2025年 176卷 268-283页

作者： Cen, Jian Zeng, Linzhe Liu, Xi Yang, Jianming Li, Xinyao Deng, Feiqi School of Automation Guangdong Polytechnic Normal University Guangzhou510665 China Guangzhou Intelligent Building Equipment Information Integration and Control Key Laboratory GuangZhou510665 China School of Automation Science and Engineering South China University of Technology GuangZhou510640 China

With the rise in energy consumption in buildings, particularly for air conditioning systems, intelligent air conditioning control has become more important. Accurate prediction of central air conditioning system cooling load is crucial to optimizing energy efficiency. This paper proposes a Multi-Scale FourierGNN Crossformer (MFGformer) model based on Crossformer, which integrates Fourier Graph Neural Networks (FourierGNN) and Multi-scale Cross-axis Attention (MCA) mechanisms for multivariate cooling load time series forecasting of central air conditioning systems. The complexity of dynamic characteristics of multivariable time series data is often misunderstood by current forecasting models, which this model takes into account. The FourierGNN module maps time series data into the frequency domain through the Discrete Fourier Transform, effectively capturing periodic and trend features of the data. The MCA mechanism captures multi-scale characteristics and local detail information in time series data through dual cross-attention computation, enhancing the ability to capture dependencies between different variables. Validation on two real case datasets shows that the MFGformer model performs well in predicting the cooling loads of central air conditioning systems, especially when outputting 24-hour predictions at a 96-hour input time step, the model's Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Arctangent Absolute Percentage Error (MAAPE), and Coefficient of Variation of Root Mean Square Error (CV-RMSE) are 130.7765 kW, 322.2957 kW, 25.2611% and 56.6846%. Compared with eight other typical models, the MAE, RMSE, MAAPE and CV-RMSE of the MFGformer model were reduced by 22.8869-156.1751 kW, 59.6766-336.4538 kW, 0.9422-51.109% and 8.6393-32.6965%, respectively, for different output step sizes. These results demonstrate the model's ability to provide accurate predictions when dealing with data characterized by volatility and nonlinearity, while maintain

关键词： Bode diagrams

来源：评论

学校读者我要写书评

暂无评论

FS-MSFormer: Image Dehazing Based on Frequency Selection and Multi-Branch Efficient Transformer

引用

Computers, Materials and Continua 2025年第3期83卷 5115-5128页

作者： Tang, Chunming Wang, Yu Tianjin Key Laboratory of Intelligent Control for Electrical Equipment School of Artificial Intelligence Tiangong University Tianjin 300387 China

Image dehazing aims to generate clear images critical for subsequent visual tasks. CNNs have made significant progress in the field of image dehazing. However, due to the inherent limitations of convolution operations, it is challenging to effectively model global context and long-range spatial dependencies effectively. Although the Transformer can address this issue, it faces the challenge of excessive computational requirements. Therefore, we propose the FS-MSFormer network, an asymmetric encoder-decoder architecture that combines the advantages of CNNs and Transformers to improve dehazing performance. Specifically, the encoding process employs two branches for multi-scale feature extraction. One branch integrates an improved Transformer to enrich local and global contextual information while achieving linear complexity, and the other branch dynamically selects the most suitable frequency components in the frequency domain for enhancement. A single decoding branch is utilized to achieve feature recovery in the decoding process. After enhancing local and global features, they are fused with the encoded features, which reduces information loss and enhances the model’s robustness. A perceptual consistency loss function is also designed to minimize image color distortion. We conducted experiments on synthetic datasets SOTS-Indoor, Foggy Cityscapes, and the real-world dataset Dense-Haze, showing improved dehazing results. Compared with FSNet, our method has shown improvements of 0.95 dB in PSNR and 0.007 in SSIM on SOTS-Indoor dataset, and enhancements of 1.89 dB in PSNR and 0.0579 in SSIM on the Dense-Haze dataset demonstrate the effectiveness of our method. Copyright © 2025 The Authors.

关键词： Asymmetric encoder-decoder architecture perceived consistency loss unified transformer

来源：评论

学校读者我要写书评

暂无评论

General expert consensus on the application of network pharmacology in the research and development of new traditional Chinese medicine drugs

引用

Chinese Journal of Natural Medicines 2025年第2期23卷 129-142页

作者： Shao Li Wei Xiao Institute of TCM-X/MOE Key Laboratory of Bioinformatics Bioinformatics DivisionBNRist/Department of AutomationTsinghua UniversityBeijing 100084China State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Jiangsu Kanion Pharmaceutical Co.Ltd.Lianyungang 222047China

The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three Combinations”).However,considering TCM's distinctive features of“syndrome differentiation and treatment”and“multicomponent formulations and complex mechanisms”,current TCM drug development faces challenges such as insufficient understanding of the material basis and the overall mechanism of action and an incomplete evidence chain ***,significant obstacles persist in gathering human experience data,evaluating clinical efficacy,and controlling the quality of active ingredients,which impede the innovation process in TCM drug *** pharmacology,centered on the“network targets”theory,transcends the limitations of the conventional“single target”reductionist research *** emphasizes the comprehensive effects of disease or syndrome biological networks as targets to elucidate the overall regulatory mechanism of TCM *** approach aligns with the holistic perspective of TCM,offering a novel method consistent with TCM's holistic view for investigating the complex mechanisms of TCM and developing new TCM *** is internationally recognized as a“next-generation drug research model”.To advance the research of new tools,methods,and standards for TCM evaluation and to overcome fundamental,critical,and cutting-edge technical challenges in TCM regulation,this consensus aims to explore the characteristics,progress,challenges,applicable pathways,and specific applications of network pharmacology as a new theory,method,and tool in TCM drug *** goal is to enhance the quality of TCM drug research and development and accelerate the efficiency of developing new TCM products.

关键词： Network pharmacology Research and development of new traditional Chinese medicine drugs Expert consensus

来源：评论

学校读者我要写书评

暂无评论

Energy-based Swing-up control of the Soft Inverted Pendulum with Affine Curvature

引用

Nonlinear Dynamics 2025年 1-20页

作者： Wang, Yongjia Xin, Xin School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Institute of Intelligent Unmanned Systems Southeast University Nanjing210096 China

This paper studies the energy-based swing-up control of an underactuated soft inverted pendulum, a template model of soft robots with its base attached to the ground and its curvature described by an affine function. First, this paper presents a necessary and sufficient condition for the linear controllability of the robot around its upright equilibrium point (UEP). Next, without any constraint on its stiffness, this paper derives an energy-based controller to swing up the robot to its UEP, where the pendulum is in its upright position, and provides a necessary and sufficient condition such that the controller is free of singular points. Then, this paper characterizes the patterns of closed-loop equilibrium points with respect to the physical parameters of the pendulum and the gains of the derived controller, and analyzes the closed-loop motion corresponding to the special case in which desired convergence of the total mechanical energy is achieved. In such case, this paper reveals that the UEP is generically the unique closed-loop equilibrium point, and provides clarification regarding its stability. These results serve as guidelines of the design of soft robots and the tuning of control gains to achieve the desired performance of the swing-up control. Finally, this paper conducts numerical simulations to validate the theoretical results and to demonstrate the effectiveness and performance of the derived controller in swinging up the robot to its UEP from initial states far from the UEP, even under the challenging condition of very low stiffness. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.

关键词： Affine transforms

来源：评论

学校读者我要写书评

暂无评论

Time-Varying Formation Tracking control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

来源：评论

学校读者我要写书评

暂无评论

Fully Distributed Low-Complexity UAV Formation control with Fixed-Time Full-State Error Performance

引用

IEEE Access 2025年 13卷 68224-68231页

作者： Yu, Pengfei Li, Qing Beijing Information Science and Technology University School of Automation Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

This paper presents a fully distributed, low-complexity UAV formation controller design with fixed-time full-state error performance, which is able to address the difficulties in obtaining global information and suppressing external disturbances without observer or adaptive law in existing solutions. The position of neighboring UAVs is the only information to be exchanged, and desired state observer is not required, thereby reducing communication costs, which is well-suited to larger-scale UAV formation systems. The proposed control scheme has the capability to handle external disturbances without observer or adaptive law, simplifying the controller's design and implementation process, reducing computational burden. Moreover, by imposing fixed-time performance constraints on tracking error and virtual error, fixed-time formation tracking error and virtual velocity tracking error can be achieved, which also improves the response speed and accuracy of UAV formation, making it more capable of meeting the time requirements of actual tasks and adapting to dynamically changing environments. Additionally, all closed-loop signals are rigorously proven to be semi-globally ultimately uniformly bounded. Finally, numerical simulation is conducted to verify the effectiveness of proposed control scheme. © 2013 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Research progress of shear-thickening polishing technology: A review

引用

Precision Engineering 2025年 95卷 322-349页

作者： Sun, Baochen Wang, Zixuan Zhao, Yang Zhang, Qingchun Liu, Qi Wen, Lu Yu, Tianbiao Zhao, Ji School of Mechanical Engineering and Automation Northeastern University Shenyang110819 China Liaoning Provincial Key Laboratory of High-end Equipment Intelligent Design and Manufacturing Technology Shenyang110819 China

Shear-thickening polishing (STP) is an emerging precision polishing technology that dynamically adjusts the viscosity of polishing fluid by precisely controlling the shear rate, thereby enhancing material removal rate (MRR) and surface accuracy while effectively suppressing surface defects such as scratches and microcracks commonly found in conventional polishing methods. This expands its potential applications in high-tech fields such as precision manufacturing and microelectronics. Studies have shown that under optimized parameters (polishing speed: 70 rpm, polishing angle: 70°, abrasive particle concentration: 12 wt%), STP achieves an MRR of up to 813.63 nm/min on optical glass. Additionally, under conditions of 38 °C, abrasive particle size of 0.6 μm, polishing speed of 600 rpm, and abrasive particle concentration of 12 vol%, adaptive shear-gradient thickening polishing (AS-GTP) can reduce the subsurface damage depth and surface roughness (Ra) of lithium niobate (LN) crystals to below 1 nm. However, research on STP remains fragmented, and a comprehensive review is currently lacking. To bridge this gap, this article systematically reviews the primary types of shear-thickening polishing fluid based on the shear-thickening characteristics of non-Newtonian fluids and provides an in-depth discussion of the working mechanisms and process optimization strategies of different STP methods. Finally, the latest advancements in STP are summarized, and its future development trends and industrialization challenges are analyzed. © 2025 Elsevier Inc.

关键词： Non Newtonian liquids

来源：评论

学校读者我要写书评

暂无评论

Formation control and path planning of multi-robot systems via large language models

引用

Science China(Information Sciences) 2025年第5期68卷 72-88页

作者： Dong XUE Xuanjie ZHOU Ming WANG Fangzhou LIU Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and Technology Research Institute of Intelligent Control and Systems School of Astronautics Harbin Institute of Technology

Existing path planning and coordination control methods for multi-robot systems(MRS) typically rely on predefined rules and rudimentary algorithms. However, these methods often struggle to adapt flexibly to complex environments and to adjust motion targets appropriately. To address this challenge, this study presents a large language model(LLM)-assisted framework. By integrating textual descriptions of complex motion constraints, robot information, and local environmental data as inputs, LLMs generate motion objectives and translate them into executable control commands for the robots, thereby achieving coordinated control and path planning. This framework facilitates the generation, maintenance, and reshaping of formations in MRSs during path planning, applicable to both obstacle-free and obstacle-avoidance environments. Simulation results demonstrate that LLM-based control strategies enhance the autonomy, adaptability, flexibility, and robustness of MRS by processing complex information, making intelligent decisions, adapting to environmental changes, and handling disturbances and uncertainties.

关键词： multi-robot systems formation control path planning obstacle avoidance large language models

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：