检索结果-内蒙古大学图书馆

Synchronization of Delayed Complex Networks on Time Scales via Aperiodically Intermittent control Using Matrix-Based Convex Combination Method

引用

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023年第6期34卷 2938-2950页

作者： Wan, Peng Zeng, Zhigang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci Ence & Technol Minist China Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China

This article reconsiders synchronization problem of linear complex networks with time-varying delay on time scales. For different types of time scales, aperiodically intermittent control scheme is established by using a matrix-based convex combination method, which has great potential in reducing control consumption and saving communication bandwidth. By employing a common Lyapunov function, aperiodically intermittent controllers are utilized successfully to achieve synchronization of linear delayed complex networks on special time scales onto an isolated node. Next, by constructing a special Lyapunov function with time-varying coefficients, sufficient criteria that consist of two linear matrix inequalities are demonstrated to make linear delayed complex networks on general time scales synchronized onto an isolated system with an exponential convergence rate given in advance. Due to delayed complex networks in this article defined on time scales, the proposed control schemes are applicable to continuous-time networks, their discrete-time forms, and any combination of them. Four numerical examples are offered to highlight the effectiveness and superiority of the proposed aperiodically intermittent control schemes at last.

关键词： Synchronization Complex networks Lyapunov methods Delays Time-varying systems Convergence Technological innovation Complex networks convex combination method intermittent control synchronization time scale

来源：评论

学校读者我要写书评

暂无评论

VSDHS-CIEA: Color image encryption algorithm based on novel variable-structure discrete hyperchaotic system and cross-plane confusion strategy

引用

INFORMATION SCIENCES 2024年 665卷

作者： Zhang, Hangming Hu, Hanping Ding, Weiping Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Minist Educ Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Peoples R China Nantong Univ Sch Informat Sci & Technol Nantong 226019 Peoples R China

Recently, the color image encryption algorithm based on chaos theory has become the focus of current research. When encrypting color images, the common practice is to treat color images as different gray components and process them severally, which results in more redundancy and low efficiency. The security of chaotic cryptosystems also depends on the performance of the chaotic systems adopted. The structures of many current chaotic systems are fixed, making their behaviors highly predictable. Additionally, the range of chaotic region parameters is limited and discontinuous. To solve the above-mentioned problems, a new color image encryption algorithm (CIEA) using fractal and chaos theory is presented, which fully considers the inherent connection among the RGB components of color images. First, we propose a variable-structure discrete hyperchaotic system (VSDHS) to solve the dilemma encountered by existing chaotic systems. The excellent dynamic properties of VSDHS are verified by rigorous mathematical proof and simulation performance analyses. Then, VSDHS-CIEA is designed using fractal theory and VSDHS. The algorithm makes full use of the inherent connection among the different components of color images and performs cross-plane confusion. Simulations and performance analyses prove that VSDHS-CIEA has higher security and better performance than some representative image encryption algorithms.

关键词： Color image encryption Chaotic system Fractal theory Cross-plane confusion strategy Synchronous confusion-diffusion

来源：评论

学校读者我要写书评

暂无评论

Energy management of solid oxide fuel cell/lithium battery hybrid system

引用

CSEE Journal of Power and Energy Systems 2022年 1-14页

作者： Li, Dong Zhong, Xiao Bo Xu, Yuan Wu Wei, Chong Yang Zhao, Song Jiang, Jianhua Deng, Zhonghua Fu, Xiaowei Li, Xi School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Hubei Wuhan430074 China College of Computer Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan430081 China

The research of fuel cell and lithium battery hybrid system has attracted more and more researchers because of its advantages of low emission. However, the lower efficiency of energy management has been a critical factor that obstruct the commercialization of hybrid system. In this work, based on finite element ideas, a solid oxide full cell node model is developed to accurately estimate the operating status of the fuel cell. As for lithium battery, previous energy management studies generally only focused on state of charge, however, state of health is also a key parameter for lithium battery. In this paper, considering the strong coupling between variables we use particle filter algorithm to jointly estimate the state of charge and state of health. To reasonably distribute and manage the energy in the hybrid system, a T-S fuzzy controller for the hybrid system is designed by controlling the state variables in the SOFC model and the state of lithium battery. Finally, our algorithm is verified by DSPACE simulation platform. The result shows that the hybrid system with the energy management strategy not only meets the real-time sharply changing demand but also ensures the hybrid system working efficiently and safely. © 2022 China Electric Power Research Institute. All rights reserved.

关键词： Hybrid systems

来源：评论

学校读者我要写书评

暂无评论

Microgrid energy management strategy considering microgrid economy and rSOC stability: A model-based study 43

Microgrid energy management strategy considering microgrid e...

引用

43rd Chinese control Conference, CCC 2024

作者： Huang, Haizhou Xia, Zhiping Shan, Xinkai Wang, Jie Li, Xi Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518055 China

ISBN: (纸本)9789887581581

Microgrids possess the ability to use renewable energy efficiently and play an increasingly significant role in environmental protection and sustainable development. Meanwhile, reversible solid oxide fuel cell (rSOC) is currently a new type of energy conversion and storage. Combining with microgrid systems is a great way to benefit from its high capacity, high efficiency, and cleanliness. However, rSOC's complex system of coupled heat, electricity, and gas presents a significant challenge in finding energy management strategies for microgrid applications containing rSOC. In this study, for a microgrid system combining rSOC, battery energy storage system (BESS), solar photovoltaic (PV), and wind turbine generator (WTG), we propose a model-based energy management strategy that simultaneously takes into account the economy of the microgrid system and the stability of the rSOC system. First of all, the microgrid is modeled with great detail, including the wind turbine, solar panels, battery storage system, and rSOC. In addition, the microgrid energy management problem is framed as a mathematical programming problem, with the attention focusing on the costs of BESS aging and operational energy loss of rSOC. In particular, this study also proposes a penalty strategy to reduce the power fluctuation amplitude of the rSOC system and reduce the mode switching frequency of the rSOC system. Using the solver, solving for each device's target power in a microgrid. The actual power operating curve is output by tracking the target power under slope constraints using the Simulink model. We then conduct a case study using data from Wuhan, China. Our research shows that compared with the control strategy based on rule control, the control strategy proposed in this study can reduce the power variation amplitude of the rSOC system by 79%, reduce the mode switching frequency by 85%, reduce the system operating cost by 4.5% and increase the energy self-sufficiency rate by 9%. © 2024 Techn

关键词： Wind turbines

来源：评论

学校读者我要写书评

暂无评论

A Security and Trust Protection Framework for Open CNC Production Line

A Security and Trust Protection Framework for Open CNC Produ...

引用

2022 Chinese Automation Congress, CAC 2022

作者： Dong, Zeyang Qin, Yuanqing Li, Zewei Wang, Hanwen Huazhong University of Science and Technology School of Artificial Intelligence and Automation MOE Lab of Image Processing and Intelligent Control Wuhan China

ISBN: (纸本)9781665465335

With the further integration of information technology and industry, the computer numerical control (CNC) production line has gradually changed from the original isolated and closed mode to an open one. It faces not only internal threats, but also threats from the Internet. Starting from the characteristics and cybersecurity problem analysis of open CNC production lines, this paper proposes a security and trust protection framework based on trusted computing 3.0 and the concept of defense in depth, where a tri-element peer architecture is introduced to realize two-way authentication between the access device and the platform and an active immunity scheme for open CNC system is designed to ensure the trust from the source, and the trusted NC-Link agent/adaper are utilized to connect the heterogeneous equipments trustedly in the production line. The proposed framework can improve the information security level of the open CNC production line while maintaining its openness. © 2022 IEEE.

关键词： Trusted computing

来源：评论

学校读者我要写书评

暂无评论

Maximization of nonsubmodular functions under multiple constraints with applications

引用

AUTOMATICA 2023年第1期155卷

作者： Ye, Lintao Liu, Zhi-Wei Chi, Ming Gupta, Vijay Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Hubei Key Lab Brain Inspired Intelligent Syst Wuhan 430074 Peoples R China Purdue Univ Elmore Family Sch Elect & Comp Engn W Lafayette IN 47907 USA

We consider the problem of maximizing a monotone nondecreasing set function under multiple constraints, where the constraints are also characterized by monotone nondecreasing set functions. We propose two greedy algorithms to solve the problem with provable approximation guarantees. The first algorithm exploits the structure of a special class of the general problem instance to obtain a better time complexity. The second algorithm is suitable for the general problem. We characterize the approximation guarantees of the two algorithms, leveraging the notions of submodularity ratio and curvature introduced for set functions. We then discuss particular applications of the general problem formulation to problems that have been considered in the literature. We validate our theoretical results using numerical examples.& COPY;2023 Elsevier Ltd. All rights reserved.

关键词： Combinatorial optimization Approximation algorithms Greedy algorithms Submodularity

来源：评论

学校读者我要写书评

暂无评论

Fabric Defect Defection based on Lightweight Convolutional Denoising Auto-Encoder 22

Fabric Defect Defection based on Lightweight Convolutional D...

引用

8th International Conference on Computing and Artificial Intelligence, ICCAI 2022

作者： Jin, Dong Li, Wenzheng Sun, Zhigang Li, Xiao School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781450396110

In the industrial production environment, the scarcity of defect samples and the high labor cost of labeling defect samples make supervised machine learning models difficult to implement. In addition, defect detection using deep learning models usually requires high computation cost and advanced hardware platform, which is not suitable for running on embedded platforms. To solve this problem, this paper proposes an unsupervised fabric defect detection method based on lightweight convolutional denoising auto-encoder(LCDAE). The LCDAE model is constructed by the bottleneck layer in MobileNetV3. Experimental results show that the method can effectively detect and localize defects with less computation and has the potential to perform defect detection on edge-embedded platforms. © 2022 ACM.

关键词： Defects

来源：评论

学校读者我要写书评

暂无评论

Asynchronous spiking neural P systems with rules on synapses and coupled neurons

引用

KNOWLEDGE-BASED SYSTEMS 2022年第0期257卷

作者： Zhang, Luping Xu, Fei Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automation Key Lab Image Informat Proc & Intelligent Control Educ Minist China Wuhan 430074 Hubei Peoples R China

The asynchronous spiking neural P system with rules on synapses (ASNPR system) is a type of distributive and non-deterministic computing model inspired by neural activities in biology. In this work, the synchronous excitation/inhibition phenomenon of coupled neurons is abstracted as the all -or-none behavior of coupled neurons: spikes in the coupled neurons are supplemented/consumed if and only if all the coupled neurons in the same set synchronously receive/consume spikes. Based on all-or-none behaviors, the ASNPR system with coupled neurons (ASNPRC system) is introduced, where coupled neurons are grouped into several sets, and the changes in the content of coupled neurons in the same set are positively correlated. The computational power of the ASNPRC systems is investigated. It has been proven that ASNPRC systems using standard rules are Turing universal function-computing devices. Moreover, a universal ASNPRC system consisting of four neurons is constructed to compute functions. The results show that "coupled neurons"is an efficient ingredient for the computation power of ASNPR systems in the sense that ASNPR systems using relatively few neurons achieve their universality with the help of "couple neurons".(c) 2022 Elsevier B.V. All rights reserved.

关键词： Bio-inspired computing Spiking neural P system Coupled neuron Computational power

来源：评论

学校读者我要写书评

暂无评论

SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis 16th

SymmNeRF: Learning to Explore Symmetry Prior for Single-View...

引用

16th Asian Conference on Computer Vision (ACCV)

作者： Li, Xingyi Hong, Chaoyi Wang, Yiran Cao, Zhiguo Xian, Ke Lin, Guosheng Huazhong Univ Sci & Technol Sch AIA Key Lab Image Proc & Intelligent Control Minist Educ Wuhan Peoples R China Nanyang Technol Univ S Lab Singapore Singapore

ISBN: (纸本)9783031263187;9783031263194

We study the problem of novel view synthesis of objects from a single image. Existing methods have demonstrated the potential in single-view view synthesis. However, they still fail to recover the fine appearance details, especially in self-occluded areas. This is because a single view only provides limited information. We observe that man-made objects usually exhibit symmetric appearances, which introduce additional prior knowledge. Motivated by this, we investigate the potential performance gains of explicitly embedding symmetry into the scene representation. In this paper, we propose SymmNeRF, a neural radiance field (NeRF) based framework that combines local and global conditioning under the introduction of symmetry priors. In particular, SymmNeRF takes the pixel-aligned image features and the corresponding symmetric features as extra inputs to the NeRF, whose parameters are generated by a hypernetwork. As the parameters are conditioned on the image-encoded latent codes, SymmNeRF is thus scene-independent and can generalize to new scenes. Experiments on synthetic and real-world datasets show that SymmNeRF synthesizes novel views with more details regardless of the pose transformation, and demonstrates good generalization when applied to unseen objects. Code is available at: https://***/xingyi-li/SymmNeRF.

关键词： Novel view synthesis NeRF Symmetry HyperNetwork

来源：评论

学校读者我要写书评

暂无评论

MACHINE VISION-BASED, DIGITAL DISPLAY INSTRUMENT POSITIONING AND RECOGNITION

引用

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2022年第2期29卷 230-243页

作者： Peng, Gang Du, Bing Li, Zhiyong He, Dingxin Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan Peoples R China Minist Educ Key Lab Image Proc & Intelligent Control Wuhan Peoples R China

Herein, an accurate and efficient algorithm for digital-display instrument positioning and recognition is proposed. The isolated forest algorithm and Otsu watershed threshold algorithm were used to distinguish digital-display instruments from nondigital-display instrument areas and separate the foreground from the background, respectively. The histogram of oriented gradient??? support vector machine classification algorithm was used to distinguish instrument and non-instrument regions, which considerably improved the accuracy of digital-display instrument region positioning, avoided the interference of non-digital tube character regions, and reduced the search time of the digital tube region. A convolutional neural network was used for character recognition. Global characteristics of the character region were fully utilized, and partial digital character issues and scenarios where the decimal point is not obvious were mitigated. The proposed method can adapt to angle deviation, partial character missing, and image noise and exhibits excellent robustness and adaptability to the location and recognition of the digital tube.

关键词： Digital-Display Instrument Isolated Forest Algorithm Projection Segmentation Convoluted Neural Network Histogram of Oriented Gradients T-Distributed Stochastic Neighbor

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：