检索结果-内蒙古大学图书馆

From animal collective behaviors to swarm robotic cooperation

National Science Review 2023年第5期10卷 82-99页

作者： Haibin Duan Mengzhen Huo Yanming Fan State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang University Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng Laboratory AVIC Shenyang Aircraft Design and Research Institute

The collective behaviors of animals,from schooling fish to packing wolves and flocking birds,display plenty of fascinating phenomena that result from simple interaction rules among *** emergent intelligent properties of the animal collective behaviors,such as self-organization,robustness,adaptability and expansibility,have inspired the design of autonomous unmanned swarm *** article reviews several typical natural collective behaviors,introduces the origin and connotation of swarm intelligence,and gives the application case of animal collective *** this basis,the article focuses on the forefront of progress and bionic achievements of aerial,ground and marine robotics swarms,illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster ***,considering the significance of the coexisting-cooperative-cognitive human-machine system,the key technologies to be solved are given as the reference directions for the subsequent exploration.

关键词： collective behaviors swarm intelligence cooperative robotics swarm human-machine system

来源：评论

学校读者我要写书评

暂无评论

Distributed Optimization and Scaling design for Solving Sylvester Equations

引用

Journal of systems Science & Complexity 2024年第6期37卷 2487-2510页

作者： CHENG Songsong YU Xin ZENG Xianlin LIANG Shu HONG Yiguang Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and AutomationAnhui UniversityHefei 230601China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 201210China

This paper develops distributed algorithms for solving Sylvester *** authors transform solving Sylvester equations into a distributed optimization problem,unifying all eight standard distributed matrix *** the authors propose a distributed algorithm to find the least squares solution and achieve an explicit linear convergence *** results are obtained by carefully choosing the step-size of the algorithm,which requires particular information of data and Laplacian *** avoid these centralized quantities,the authors further develop a distributed scaling technique by using local information *** a result,the proposed distributed algorithm along with the distributed scaling design yields a universal method for solving Sylvester equations over a multi-agent network with the constant step-size freely chosen from configurable ***,the authors provide three examples to illustrate the effectiveness of the proposed algorithms.

关键词： Distributed optimization least squares solution linear convergence rate step-size interval Sylvester equation

来源：评论

学校读者我要写书评

暂无评论

Drogue detection for autonomous aerial refueling via hybrid pigeon-inspired optimized color opponent and saliency aggregation

引用

Chinese Journal of Aeronautics 2024年第5期37卷 27-38页

作者： Tongyan WU Haibin DUAN Yanming FAN State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China AVIC Shenyang Aircraft Design and Research Institute Shenyang 110035China

Drogue detection is one of the challenging tasks in autonomous aerial refueling due to the requirement for accuracy and *** detection based on image intrinsic cues can achieve fast detection,but with poor *** studies reveal that optimization-based methods provide accurate and quick solutions for saliency *** paper presents a hybrid pigeon-inspired optimization method,the optimized color opponent,that aims to adjust the weight of color opponent channels to detect the drogue *** can optimize the weights in the selected aerial refueling scene offline,and the results are applied for drogue detection in the scene.A novel algorithm aggregated by the optimized color opponent and robust background detection is presented to provide better precision and *** results on benchmark datasets and aerial refueling images show that the proposed method successfully extracts the saliency region or drogue and exhibits superior performance against the other saliency detection methods with intrinsic *** algorithm designed in this paper is competent for the drogue detection task of autonomous aerial refueling.

关键词： Autonomous aerial refueling Drones Hybrid pigeon-inspired optimization Color opponent Saliency detection Saliency aggregation

来源：评论

学校读者我要写书评

暂无评论

design and Performance Analysis of Utility Scale-Grid connected Hybrid Wind-Solar Plant in an Existing Operational Wind Farm in India 3

Design and Performance Analysis of Utility Scale-Grid connec...

引用

3rd IEEE International Conference on electrical Power and Energy systems, ICEPES 2024

作者： Kaliappan, P. Selvan, M.P. CPRI Metering and Utility Automation Division Bangalore India NIT Hybrid Electrical Systems Laboratory Department of Electrical & Electronics Engineering Tiruchirappalli India

ISBN: (数字)9798350390728

ISBN: (纸本)9798350390728

Renewable Energy (RE) is a clean and green energy available worldwide. India is harvesting green energy technologies in an exponential way with solar irradiation and wind resources available. In the existing wind farms, there is a scope for generation of solar energy using photovoltaic modules in the vacant lands which are available between the wind turbines. Considering techno-commercial, land acquisition issues and right of way, the establishment of solar plants in the existing wind farms would also be a better choice. Hence, it is proposed to establish a solar power plant of 25 MW capacity in an existing wind farm of 75 MW capacity located in Coimbatore district, Tamilnadu, India by considering the wind farm layout and i) utilizing the existing step-up distribution transformers ii) by adding separate step-up transformers and iii) as a dedicated co-located solar power plant. The existing wind farm is operational, and it is decided to integrate the proposed solar power plant. The wind farm and solar power plant will be interconnected with the power grid through point of common coupling to inject the power to the grid. The solar power generation simulation has been carried out using PVsyst software. The modeling, simulation and performance evaluation of a utility scale grid-connected hybrid wind-solar power was done using ETAP software. In this paper, various possibilities for integrating solar power plants in existing wind farms have been explored, and the design of appropriate power extraction and protection schemes for the hybrid wind-solar plant has been analyzed and recommended. © 2024 IEEE.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

Improving the ductility of laser directed energy deposited borated stainless steel by increasing laser power

引用

Journal of Manufacturing Processes 2025年 145卷 494-507页

作者： Huang, Sheng Li, Qingyu Zhang, Xiaoyu Cui, Bin Li, Dichen Zhang, Anfeng Miao, Kai State Key Laboratory for Manufacturing Systems Engineering School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China Department of Mechanical and Electrical Engineering Yuncheng University Yuncheng044000 China Co. Ltd. Chengdu610091 China

Borated stainless steels (BSSs) are extensively applied in the nuclear energy industry due to boron's excellent thermal neutron absorption capacity, but large and brittle borides formed during casting result in a low ductility. Here, a BSS was produced by laser directed energy deposition, and an investigation was conducted to analyze the impact of laser power on both the microstructure and mechanical properties of the deposited material. Fibrous borides with relatively low volume fraction in the overlapping zone resulted in higher ductility, while lamellar borides with relatively large volume fraction in the non-overlapping zone led to higher strength. As the laser power increased from 180 W to 330 W, the size of fibrous and lamellar eutectic borides and austenite increased significantly, the width of the soft overlapping zone increased by 2.27 times, and the elongation increased by 2.03 times, although yield strength and ultimate tensile strength decreased by 46.3 % and 31.7 %, respectively. As a result, these findings confirmed the feasibility of significantly improving the ductility of the as-deposited BSS by increasing the laser power. The work here provides a way to tailoring the mechanical properties of BSS produced by laser additive manufacturing. © 2025 The Society of Manufacturing Engineers

关键词： Ductility

来源：评论

学校读者我要写书评

暂无评论

Integrated framework for space-and energy-efficient retrofitting in multifunctional buildings:A synergy of agent-based modeling and performance-based modeling

引用

Building Simulation 2024年第9期17卷 1579-1600页

作者： Yuchi Shen Xinyi Hu Xiaotong Wang Mengting Zhang Lirui Deng Wei Wang School of Architecture Southeast UniversityNanjingJiangsu Province210096China Department of Electrical Engineering and Automation Aalto University02150EspooFinland Faculty of Innovation and Design City University of MacaoMacaoChina Key Laboratory of Urban and Architectural Heritage Conservation(Southeast University) Ministry of EducationNanjingChina

This research investigates retrofitting strategies for multifunctional spaces within educational buildings,employing agent-based and performance-based modeling to support *** experimental matrix was developed,reflecting three usage scenarios(reading,exhibition,lecture)across four retrofitting *** agent-based model was developed to delineate intricate human behaviors in space and examined the self-organizing behaviors of 30 agents for each scheme in every scenario,evaluating six metrics on spatial efficiency and visual *** models,derived from real data and processed through designBuilder software,evaluated three metrics:energy use,thermal comfort,and visual *** research then incorporated metrics from the agent-based model and performance simulation to develop a method for discussing the decision-making process in retrofit *** findings indicate that the optimal retrofitting solution for multifunctional spaces is heavily influenced by the distribution of usage *** the substantial influence of space metrics on selecting the optimal retrofit scheme,the proposed framework effectively facilitates decision-making for building retrofits by providing a holistic evaluation of both spatial and energy criteria.

关键词： building retrofit agent-based model human behavior simulation measurement of space performance simulation

来源：评论

学校读者我要写书评

暂无评论

A LESO Based Backstepping Controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process

引用

Journal of systems Science & Complexity 2024年第5期37卷 1789-1808页

作者： CHEN Luefeng LIU Xiao WU Min LU Chengda PEDRYCZ Witold HIROTA Kaoru School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R2G7Canada The Tokyo Institute of Technology Yokohama 226-8502Japan

In the process of coal mine drilling,controlling the rotary speed is important as it determines the efficiency and safety of *** this paper,a linear extended state observer(LESO)based backstepping controller for rotary speed is proposed,which can overcome the impact of changes in coal seam hardness on rotary ***,the influence of coal seam hardness on the drilling rig’s rotary system is considered for the first time,which is reflected in the numerical variation of load torque,and a dynamic model for the design of rotary speed controller is *** an LESO is designed to observe the load torque,and feedforward compensation is carried out to overcome the influence of coal seam *** on the model of the compensated system,a backstepping method is used to design a controller to achieve tracking control of the rotary ***,the effectiveness of the controller designed in this paper is demonstrated through simulation and field experiments,the steady-state error of the rotary speed in field is 1 r/min,and the overshoot is reduced to 5.8%.This greatly improves the stability and security,which is exactly what the drilling process requires.

关键词： Backstepping extended state observer hydraulic tunnel drilling machine rotary speed

来源：评论

学校读者我要写书评

暂无评论

Historical Attack-Intensity-Based Event-Triggered Platoon Control of Connected Vehicles Under Actuator Failures and DoS Attacks

引用

IEEE Transactions on Vehicular Technology 2025年第5期74卷 8052-8062页

作者： Lin, Huichao Dong, Jiuxiang Park, Ju H. Liaoning Province Key Laboratory of Safe Operation Technique for Autonomous Unmanned Systems College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation of Process Industries Shenyang110819 China Yeungnam University Department of Electrical Engineering Kyongsan38541 Korea Republic of

This paper considers the event-triggered (ET) platoon control of connected vehicles in the presence of actuator failures and DoS attacks. First, a historical attack-intensity-based ET mechanism is proposed to optimize communication resources. Compared with the existing event trigger mechanism, this mechanism utilizes not only the state error information but also historical attack intensity data to dynamically adjust the trigger threshold, which further conserves communication resources and enhances design flexibility in the case of DoS attacks. Next, a security platoon control scheme is designed to resist actuator faults and DoS attacks, and a delay switched system model is introduced to describe the vehicle platoon tracking error system. Then, a novel Lyapunov functional is developed and combined with switching techniques to establish sufficient conditions for the exponential stability of the tracking error system. Additionally, a co-design method of controller gain and event trigger parameters is proposed. Finally, simulation examples validate the superiority of the proposed historical attack-intensity-based ET platooning control scheme. © 1967-2012 IEEE.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning

引用

IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 47-63页

作者： Yongliang Yang Zihao Ding Rui Wang Hamidreza Modares Donald C.Wunsch Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation&Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China School of Automation Beijng Institute TechnologyBeijing 100081China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Mechanical Engineering Department Michigan State UniversityEast LansingMI 48824 USA Department of Electrical&Computer Engineering Missouri University of Science&TechnologyRollaMO 65401 USA

In this paper,we present a novel data-driven design method for the human-robot interaction(HRI)system,where a given task is achieved by cooperation between the human and the *** presented HRI controller design is a two-level control design approach consisting of a task-oriented performance optimization design and a plant-oriented impedance controller *** task-oriented design minimizes the human effort and guarantees the perfect task tracking in the outer-loop,while the plant-oriented achieves the desired impedance from the human to the robot manipulator end-effector in the ***-driven reinforcement learning techniques are used for performance optimization in the outer-loop to assign the optimal impedance *** the inner-loop,a velocity-free filter is designed to avoid the requirement of end-effector velocity *** this basis,an adaptive controller is designed to achieve the desired impedance of the robot manipulator in the task *** simulation and experiment of a robot manipulator are conducted to verify the efficacy of the presented HRI design framework.

关键词： Adaptive impedance control data-driven method human-robot interaction(HRI) reinforcement learning velocity-free

来源：评论

学校读者我要写书评

暂无评论

Deep learning and machine learning neural network approaches for multi class leather texture defect classification and segmentation

引用

Journal of Leather Science and engineering 2022年第1期4卷 90-110页

作者： Praveen Kumar Moganam Denis Ashok Sathia Seelan Department of Design Automation Cyber Physical Systems LaboratorySchool of Mechanical EngineeringVellore Institute of TechnologyVellore 632014India

Modern leather industries are focused on producing high quality leather products for sustaining the market com-petitiveness. However, various leather defects are introduced during various stages of manufacturing process such as material handling, tanning and dyeing. Manual inspection of leather surfaces is subjective and inconsistent in nature;hence machine vision systems have been widely adopted for the automated inspection of leather defects. It is neces-sary develop suitable image processing algorithms for localize leather defects such as folding marks, growth marks, grain off, loose grain, and pinhole due to the ambiguous texture pattern and tiny nature in the localized regions of the leather. This paper presents deep learning neural network-based approach for automatic localization and classifica-tion of leather defects using a machine vision system. In this work, popular convolutional neural networks are trained using leather images of different leather defects and a class activation mapping technique is followed to locate the region of interest for the class of leather defect. Convolution neural networks such as Google net, Squeeze-net, RestNet are found to provide better accuracy of classification as compared with the state-of-the-art neural network architectures and the results are presented.

关键词： Convolution neural networks Machine learning classifier Leather defects Multi class classification Class activation map Segmentation

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：