检索结果-内蒙古大学图书馆

Robust Predictive Bipartite Bumpless Control for Markov Jump MASs Under Switching Topology: Application to Rotary-Wing Air Vehicles

引用

IEEE Transactions on Vehicular technology 2025年第5期74卷 7020-7032页

作者： Wang, Jian Dong, Jiuxiang 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

This article addresses the issue of bipartite consensus for Markov jump multi-agent systems subjected to bounded disturbance and input constraints under mode-dependent switching topology. To surmount the challenge of handling disturbance, hard constraints and bump suppression, which are not considered and difficult to deal with in existing literature on solutions to algebraic Riccati equation, a novel bipartite robust predictive bumpless control algorithm is proposed with integrating H∞ performance. To be specific, the offline designing process of bipartite controller parameters is firstly performed by investigating terminal constraint set and robust invariant set. In this sense, H∞ type cost function and consensus error state bump cost are constructed for achieving disturbance attenuation and suppressing bump in error state, respectively. This further avoids possible counterproductive results caused by setting constraints on bump with a small gain. Next, based on the optimization prediction dynamics, perturbation state of controller is optimized online for each agent, which efficiently reduces the computational burden compared with conventional online and efficient model predictive control. Furthermore, the recursive feasibility of the proposed method and stochastic stability of error dynamics are theoretically guaranteed. Finally, an application to rotary-wing air vehicles is utilized to verify the potential of theoretic results. © 1967-2012 IEEE.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Implementation of Intuitive 3-Dimensional Manipulation for 3DCG Objects Using Monocular Camera 22

Implementation of Intuitive 3-Dimensional Manipulation for 3...

引用

22nd International Symposium on Communications and information Technologies, ISCIT 2023

作者： Ito, Hibiki Imamura, Hiroki Graduate School of Science and Technology Department of Information Systems Engineering Tokyo Japan

ISBN: (纸本)9781665457316

The widespread use of smartphones has led to an increase in opportunities for manipulating 3-Dimensional-Computer-Graphics (3DCG) objects in Augmented Reality (AR) and Virtual Reality (VR) applications. However, these interactions usually require touch panel input, which can be difficult for users who lack prior experience. To address this issue, one possible solution is to use depth sensors to infer hand shapes from skeletal data and control 3DCG objects using gesture movements. Nevertheless, these sensors can be challenging to implement due to cost and other limitations. Thus, we will investigate the possibility of manipulating 3DCG objects using only a monocular camera based on gesture movements. © 2023 IEEE.

关键词： User interfaces

来源：评论

学校读者我要写书评

暂无评论

Interlayer exciton dynamics of transition metal dichalcogenide heterostructures under electric fields

引用

Nano Research 2024年第5期17卷 4555-4572页

作者： Jian Tang Yue Zheng Ke Jiang Qi You Zhentian Yin Zihao Xie Henan Li Cheng Han Xiaoxian Zhang Yumeng Shi International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060China College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China Key Laboratory of Luminescence and Optical Information Ministry of EducationInstitute of Optoelectronic TechnologyBeijing Jiaotong UniversityBeijing 100044China

Stacking single layers of atoms on top of each other provides a fundamental way to achieve novel material systems and engineer their physical properties,which offers opportunities for exploring fundamental physics and realizing next-generation optoelectronic *** the two-dimensional(2D)-stacked systems,transition metal dichalcogenide(TMDC)heterostructures are particularly attractive because they host tightly-bonded interlayer excitons which possess various novel and appealing *** interlayer excitons have drawn significant research attention and hold high potential for the application in unique optoelectronic devices,such as polarization-and wavelength-tunable single photon emitters,valley Hall transistors,and possible high-temperature *** development of these devices requires a comprehensive understanding of the fundamental properties of these interlayer excitons and the impact of electric fields on their *** this review,we summarize the recent advances on the understanding of interlayer exciton dynamics under electric fields in TMDC *** put emphasis on the electrical modulation of interlayer excitons’emission,the valley Hall transport of charge carriers after the separation of interlayer excitons by an electric field,and the correlation physics of interlayer excitons and charges under electrical doping and *** and perspectives are finally discussed for the application of TMDC heterostructures in future optoelectronics.

关键词： interlayer exciton transition metal dichalcogenide(TMDC)heterostructures circular polarization valley Hall effect strong coupling

来源：评论

学校读者我要写书评

暂无评论

Fault Detection Unknown Input Observer for Local Nonlinear Fuzzy Autonomous Ground Vehicles System Based on a Joint Peak-to-Peak Analysis and Zonotopic Analysis Threshold

引用

IEEE Transactions on Vehicular technology 2025年第5期74卷 7226-7236页

作者： Li, Yi Dong, Jiuxiang 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

This paper focuses on the fault detection problem of local nonlinear fuzzy autonomous ground vehicles systems with disturbances by developing set membership estimation. The intractable influence of disturbances and local nonlinear part on the design of fault detection thresholds is the principal difficulty in fault detection using the existing set membership estimation methods. To this end, a fault detection unknown input observer via a novel joint peak-to-peak analysis and zonotopic analysis threshold is proposed. Firstly, the disturbances are divided into decouplable and non-decouplable parts. An unknown input observer, designed with peak-to-peak performance criteria, is employed to achieve the decoupling of the decouplable disturbance part. Subsequently, based on the dynamic structure of the observer, the local non-linear part is represented as polyhedra through peak-to-peak analysis and zonotopic analysis, thereby providing an interval estimation for the system output. his method utilizes zonotopic analysis to mitigate the over-estimation issue in the initial stage inherent in traditional peak-to-peak performance-based interval estimation techniques. Furthermore, it retains the necessary degrees of freedom during the decoupling process of certain disturbances to optimize the observer's performance. Consequently, this approach significantly enhances the accuracy of the interval estimation as compared to existing methods. Moreover, the peak-to-peak performance of fault detection unknown input observer is analysed using the fuzzy basis-dependent Lyapunov function to decrease the conservatism. Lastly, simulations are analysed in order to validate the accuracy of the proposed thresholds. © 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

Investigation on the exploding foil initiators ignition enhanced by explosion-electricity coupling

引用

Defence technology（防务技术） 2024年第12期42卷 1-11页

作者： Songmao Zhao Haotian Jian Ke Wang Zheng Ning Peng Zhu Ruiqi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing210094China Science and Technology on Applied Physical and Chemistry Laboratory Shanxi Applied Physics and Chemistry Research InstituteXi'an710061China Micro-Nano Energetic Devices Key Laboratory Ministry of Industry and Information TechnologyNanjing210094China Xi'an Modern Chemistry Research Institute Xi'an710061China

Explosion-electricity coupling(EEC) is a technical method to induce electric energy into the plasma material produced by explosion to improve the output of *** foil initiator(EFI) which could produce plasma during electric explosion can serve as a good carrier for studying the *** investigate the enhancement ability and mechanism of EEC in EFI ignition performance,a kind of EFI chips which could realize the EEC effect was designed and fabricated to observe the characteristics of current and voltage,flyer and plasma temperature during Boron Potassium Nitrate(BPN) ignition of the *** was found that the EEC could enhance EFI ignition in terms of energy utilization,ignition contact surface,and high-temperature sustainability of plasma:firstly,the EEC prolonged the late time discharge(LTD) phase of the electric explosion,making the energy of capacitor effectively utilized;secondly,the EEC could create a larger area of ignition contact surface;last of all,the EEC effect enhanced its hightemperature sustainability by sustaining continuous energy input to *** also was found that the ignition voltage of BPN could be reduced by nearly 600 V under the condition of 0.4 μF *** research has successfully combined EEC with EFI,revealing the behavioral characteristics of EEC and demonstrating its effective enhancement of EFI *** introduces a new approach to improving EFI output,which is conducive to low-energy ignition of EFI,and expected to take the ignition technology of EFI to a new level.

关键词： Exploding foil initiator Explosion-electricity coupling Plasma Ignition mechanism Boron potassium nitrate

来源：评论

学校读者我要写书评

暂无评论

Generating Adversarial Patterns in Facial Recognition with Visual Camouflage

引用

Journal of Shanghai Jiaotong University (science) 2024年 1-12页

作者： Bao, Qirui Mei, Haiyang Wei, Huilin Lü, Zheng Wang, Yuxin Yang, Xin Key Laboratory of Social Computing and Cognitive Intelligence of Ministry of Education School of Control Science and EngineeringSchool of Computer Science and Technology Dalian University of Technology Liaoning Dalian116024 China Systems Engineering Institute Academy of Military Sciences Beijing100141 China

Deep neural networks, especially face recognition models, have been shown to be vulnerable to adversarial examples. However, existing attack methods for face recognition systems either cannot attack black-box models, are not universal, have cumbersome deployment processes, or lack camouflage and are easily detected by the human eye. In this paper, we propose an adversarial pattern generation method for face recognition and achieve universal black-box attacks by pasting the pattern on the frame of goggles. To achieve visual camouflage, we use a generative adversarial network (GAN). The scale of the generative network of GAN is increased to balance the performance conflict between concealment and adversarial behavior, the perceptual loss function based on VGG19 is used to constrain the color style and enhance GAN’s learning ability, and the fine-grained meta-learning adversarial attack strategy is used to carry out black-box attacks. Sufficient visualization results demonstrate that compared with existing methods, the proposed method can generate samples with camouflage and adversarial characteristics. Meanwhile, extensive quantitative experiments show that the generated samples have a high attack success rate against black-box models. © 2023, Shanghai Jiao Tong University.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

GAN-Enhanced Brain Slice Images for Detecting Alzheimer's Disease 11

GAN-Enhanced Brain Slice Images for Detecting Alzheimer's Di...

引用

11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Vincent, Albin Ancy, C.A. Rajagiri School of Engineering & Technology Department of Information Technology Kakkanad India Rajagiri School of Engineering & Technology Department of Computer Science and Business Systems Kakkanad India

ISBN: (纸本)9798350379136

Alzheimer's Disease (AD) is a progressive neurological disorder marked by cognitive decline, memory loss, and impaired reasoning, affecting millions globally. Early and accurate diagnosis of AD is crucial for managing the disease, yet traditional diagnostic methods such as clinical assessments and Magnetic Resonance Imaging (MRI) face significant challenges. This research proposes a novel approach to enhance the diagnostic process by using Generative Adversarial Networks (GANs) to improve brain MRI image quality, thereby aiding automated detection of AD. It involves preprocessing brain MRI scans, designing a GAN for image enhancement, and utilizing these enhanced images in a Convolutional Neural Network (CNN) for detecting AD. The effectiveness of method is evaluated using key metrics such as accuracy, sensitivity, and specificity, comparing its performance to baseline methods using non-enhanced images. Cross-validation and testing with external datasets are conducted to ensure the model's robustness and generalizability. The integrated GAN-CNN framework demonstrated a remarkable accuracy of 99.9 % in predicting AD using MRI images from the OASIS dataset. © 2024 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

A Brief Overview of ChatGPT:The History,Status Quo and Potential Future Development

引用

IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1122-1136页

作者： Tianyu Wu Shizhu He Jingping Liu Siqi Sun Kang Liu Qing-Long Han Yang Tang the Key Laboratory of Smart Manufacturing in Energy Chemical Process East China University of Science and TechnologyShanghai 200237China the Laboratory of Cognition and Decision Intelligence for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China the School of Information Science and Engineering East China University of Science and TechnologyShanghai 200237China the Research Institute of Intelligent Complex Systems Fudan UniversityShanghai 200437China the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia

ChatG PT,an artificial intelligence generated content (AIGC) model developed by OpenAI,has attracted worldwide attention for its capability of dealing with challenging language understanding and generation tasks in the form of *** paper briefly provides an overview on the history,status quo and potential future development of ChatGPT,helping to provide an entry point to think about ***,from the limited open-accessed resources,we conclude the core techniques of ChatGPT,mainly including large-scale language models,in-context learning,reinforcement learning from human feedback and the key technical steps for developing *** further analyze the pros and cons of ChatGPT and we rethink the duality of ChatGPT in various *** it has been widely acknowledged that ChatGPT brings plenty of opportunities for various fields,mankind should still treat and use ChatG PT properly to avoid the potential threat,e.g.,academic integrity and safety ***,we discuss several open problems as the potential development of ChatGPT.

关键词： AIGC ChatGPT GPT-3 GPT-4 human feedback large language models

来源：评论

学校读者我要写书评

暂无评论

Cooperative Selection and Communications in 6G Ultra-mMTC IoV Networks 4

Cooperative Selection and Communications in 6G Ultra-mMTC Io...

引用

4th International Symposium on Electrical, Electronics and information engineering, ISEEIE 2024

作者： Huang, He Huang, Wei College of Communication Technology Chengdu China School of Computer Science and Information Engineering Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei China

ISBN: (纸本)9798350355772

Although Cooperative Communications (CC) already exists in 4G/5G, performance improvement is just not enough. As 5G standard has gradually established recently, CC has been one of most critical communication technologies which plays a founding role in 6G IoV networks. Therefore, it is important to apply collaborative technology to achieve Internet of Everything (IoV) and improve communication quality significantly in 6G IoV ultra-mMTC networks. In this study, we review that collaborative ideology has been regarded as foundation theory which widely exists in future multiple hybrid scenarios, such as, Cognitive Internet of Things (C-IoT) networks, UAVs (Unmanned Aerial Vehicles) communications, air-space-ground integrated networks, underwater acoustic communication and so on. Besides, we discuss key communication technologies that are closely combined with unique communication scenes, and elaborate critical problems that shall be solved in 6G ultra-mMTC IoV networks. Furthermore, we discuss extreme low complexity and fast ultra-massive relays selection algorithm in all sorts of future 6G scenarios. At last, it is concluded that for arbitrary two communication points (source/destination devices, sensors, relays, IoT nodes and so on), ideology of nodes selection of collaborative communication is theory of foundation to realize IoV and optimize communication transmission performance in future networks. © 2024 IEEE.

关键词： Cooperative communication

来源：评论

学校读者我要写书评

暂无评论

Computational temporal ghost imaging based on complementary modulation

引用

Chinese Physics B 2024年第11期33卷 278-283页

作者： Jia-Wei Li Wei Zhang Xue-Feng Liu Xu-Ri Yao Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE) School of Physics Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Electronics and Information Technology for Space Systems National Space Science CenterChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

We report an experimental demonstration of temporal ghost imaging in which a digital micromirror device(DMD)and+1/-1 binary modulation have been combined to give an accurate reconstruction of a nonperiodic time *** to the 0/1 modulation,the reconstruction signal can be improved greatly by+1/-1 binary modulation even with half of the *** results show that 0/1 binary temporal objects up to 4 kHz and sinusoidal time objects up to 1 kHz can be reconstructed by this *** influences of modulation speed and array detector gray levels are also discussed.

关键词： temporal ghost imaging complementary modulation

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：