检索结果-内蒙古大学图书馆

MaPart: An Efficient Multi-FPGA system-Aware Hypergraph Partitioning Framework

ieee TRANSACTIONS ON computer-aided design OF INTEGRATED CIRCUITS AND systemS 2024年第10期43卷 3212-3225页

作者： Li, Benzheng Bi, Shunyang You, Hailong Qi, Zhongdong Guo, Guangxin Sun, Richard Zhang, Yuming Xidian Univ Sch Microelect Xian 710071 Shaanxi Peoples R China S2C Inc Emulat Dept Shenzhen 518055 Peoples R China

Multi-FPGA systems (MFSs) are increasingly important in addressing VLSI circuit emulation and prototyping. However, the limitations of I/O resources between Field programmable gate arrays (FPGAs) have driven the usage of TDM and FPGA-hop technologies, which complicate the partitioning problem. Consequently, designing a suitable partitioning process for MFS has emerged as a critical research question affecting overall system performance. This article proposes MaPart, a novel hypergraph partitioning framework, which aims to minimize the maximum path delay in MFS. MaPart combines binary search with a nonhop partitioner, TopoPart+, to minimize the maximum hop count during the partitioning process. Compared to previous nonhop partitioner, TopoPart+ provides enhanced problem-solving capabilities and achieves a remarkable 96% reduction in cut-size. Furthermore, the framework incorporates two successive local refinement algorithms that optimize the time-division multiplexing ratio, reduce total hop count, and alleviate congestion on critical paths. Additionally, MaPart includes a system-level router based on layered graphs, enabling flexible control of the hop count based on the timing criticality of each path. Experimental results demonstrate that the proposed framework achieves a significant 37% reduction in delay compared to baseline algorithms when evaluated using publicly available benchmarks.

关键词： Field programmable gate arrays Delays Partitioning algorithms Time division multiplexing Routing Wires Logic gates Field programmable gate array (FPGA) hardware emulation partitioning timing driven routing

来源：评论

学校读者我要写书评

暂无评论

Joint One-Bit Precoding and Reflecting Matrix design in Sub-Connected Active IRS-aided MU-MISO systems 25

Joint One-Bit Precoding and Reflecting Matrix Design in Sub-...

引用

ieee Wireless Communications and Networking conference (ieee WCNC)

作者： Yin, Mingjian Zheng, Jianping Xidian Univ Sch Telecommun Engn Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9798350303582;9798350303599

Recently, active intelligent reflecting surface (IRS) has attracted much attention because it can solve the double-fading attenuation caused by cascaded channels. In this paper, the one-bit precoding vector at base station and the reflecting matrix at IRS are optimized jointly to minimize the mean squared error in the sub-connected active IRS-aided multiuser multiple-input single-output system. The resulted optimization problem is non-convex, for which an efficient alternating optimization algorithm is proposed. Concretely, the alternating direction method of multipliers, coordinate descent, and accelerate proximal gradient are utilized to optimize the one-bit precoding vector, discrete reflecting phase, and amplification factor, respectively. Finally, computer simulations are given to verify the proposed method in terms of energy efficiency and bit error rate.

关键词： Precoding intelligent reflecting surface alternating optimization alternating direction method of multipliers

来源：评论

学校读者我要写书评

暂无评论

2013 ieee conference on computer aided control system design, CACSD 2013

2013 IEEE Conference on Computer Aided Control System Design...

引用

2013 ieee conference on computer aided control system design, CACSD 2013

ISBN: (纸本)9781479915651

The proceedings contain 15 papers. The topics discussed include: handling fault detection latencies in automata-based scheduling for embedded control software;a mixed approach to rigorous development of control designs;characterizing feedback signal drop patterns in formal verification of networked control systems;scalable model-checking for precise end-to-end latency computation;improving approximate reachability by dynamic interleavings of projections-based algorithms;robust fixed order controller design by a mixed randomized/deterministic method;systems modeling, analysis and control (SMAC) toolbox: an insight into the robustness analysis library;sequential randomized algorithms for sampled convex optimization;online failure diagnosis of stochastic discrete event systems;NLcontrol: symbolic package for study of nonlinear control systems;PolyRMPC: a new Matlab toolbox to robustify predictive controllers under unstructured and structured uncertainties;and free computer-aided control system design (CACSD) tools for GNU octave.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Area Load Frequency control in Power system Integrated With Wind Farms Using Fuzzy Generalized Predictive control Method

引用

ieee TRANSACTIONS ON RELIABILITY 2023年第2期72卷 737-747页

作者： Wang, Huimin Li, Zhaojun Steven Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu 611731 Peoples R China Western New England Univ Dept Ind Engn & Engn Management Springfield MA 01119 USA

Frequency security is critical for the power systems' stability and reliability. The integration of renewable energy resources brings new challenges to the frequency security of power systems. To provide a more robust control method for controlling the frequency and tie-line power flow of an interconnected power system integrated with wind farms (IPSWF), a load frequency control (LFC) controller of generalized predictive control (GPC) based on the Takagi-Sugeno (T-S) fuzzy model (fuzzy-GPC) is proposed in this paper. First, the T-S fuzzy model of the IPSWF is constructed. Then, the GPC is used to design the controller. Lastly, to validate the proposed scheme, an LFC strategy is established for a two-area interconnected power system integrated with a wind farm in power systems computer aided design (PSCAD). The control performance of proportional-integral, GPC, and fuzzy-GPC controller are compared under two faulty operating conditions. The simulation results show that the performance indicators and the dynamic behavior when the fuzzy-GPC controller is used are better than the performance when the PI controller and GPC controller are used. The proposed fuzzy-GPC used in the LFC of the IPSWF can regulate the frequency deviation and tie-line power deviation adaptively and achieve minimum frequency deviation and tie-line power deviation in a multi-area IPSWF.

关键词： Power system stability Frequency control Wind power generation PI control Predictive models Load modeling Adaptation models Generalized predictive control (GPC) load frequency control (LFC) power systems Takagi-Sugeno (T-S) fuzzy model wind farms

来源：评论

学校读者我要写书评

暂无评论

Reduced Time-Delay Active Disturbance Rejection control for Areal Density of Lithium-Ion Battery 7

Reduced Time-Delay Active Disturbance Rejection Control for ...

引用

7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Tang, Weiqing Ren, Zhengyun College of Information Science and Technology Donghua University Shanghai China

ISBN: (纸本)9798350350760

In the coating production process of lithium-ion batteries (LIBs), areal density has a significant impact on the energy density and cycle life of the battery. To address the control challenges in the LIBs areal density system, which is characterized by variable parameters, large disturbances, and significant time delays, a reduced time-delay active disturbance rejection control (RT-ADRC) method is proposed. First, the coating principle of LIBs is introduced, and an areal density model is established. A low-pass filter is then added to suppress noise in areal density detection. Furthermore, the RT-ADRC structure is developed by modifying the conventional ADRC controller. Simulation results demonstrate that RT-ADRC offers good dynamic performance and robustness, improving the control effectiveness of the areal density system. Actual applications on LIBs coating production lines confirm that RT-ADRC effectively controls the areal density system. The coefficient of variation of areal density is reduced from 0.21% to 0.13%, and the areal density process capability index is increased from 1.42 to 2.46, validating the effectiveness of the proposed RT-ADRC method. ©2024 ieee.

关键词： Disturbance rejection

来源：评论

学校读者我要写书评

暂无评论

The Practice and Application of Edge Deployment Technology in Power Scene Action Recognition system

The Practice and Application of Edge Deployment Technology i...

引用

2024 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

作者： Hou, Mingguo Tang, Kai Liu, Dongsheng Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (纸本)9798350378917

This article aims to discuss the application and practice of edge deployment technology in power scene action recognition system. In order to realize the intelligent upgrade of EPS and improve the real-time and accuracy of motion recognition, this article constructs a power scene motion recognition system based on edge deployment technology, and carries out system simulation experiments. Research methods include system requirements analysis, overall architecture design, deployment strategy formulation of edge computing nodes, selection and optimization of motion recognition algorithm, and design of data transmission and storage scheme. The experimental results show that the system has obvious advantages in real-time, accuracy and stability, and can meet the actual needs of electric power system (EPS) better than the previous centralized deployment scheme. It is concluded that edge deployment technology has great application potential in power scene action recognition, which is expected to provide strong support for the security and intelligent upgrade of EPS. © 2024 ieee.

关键词： Power systems computer aided design

来源：评论

学校读者我要写书评

暂无评论

Research on deep neural network optimization algorithm in precision numerical control system 7

Research on deep neural network optimization algorithm in pr...

引用

7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Xiaoyu, Huan Mechanical and Electrical Engineering Department Zhenjiang Branch of Jiangsu Union Technical Institute Zhenjiang212016 China

ISBN: (纸本)9798350350760

Encoder Particle Swarm (EPS) is an innovative approach that combines Autoencoder (AE) and Particle Swarm Optimization (PSO). Research on deep neural network optimization algorithm is applied to precision numerical control system. EPS employs an autoencoder to reduce and extract features from sensor data in precision numerical control systems, and it automatically adjusts network parameters using the particle swarm optimization algorithm to enhance the model's performance and efficiency. This method not only effectively reduces the model's complexity but also improves the precision and response speed of the precision numerical control system. In conclusion, this paper validates the substantial advantages of the introduced deep neural network optimization algorithm in reducing mean square error, root mean square error, and mean absolute error, as evidenced by its comparison with conventional neural network models. The findings underscore that this algorithm effectively addresses the intricacies and uncertainties that traditional scheduling approaches struggle with, thereby demonstrating the efficacy of the model in optimizing and ensuring the feasibility of resource scheduling within precision CNC systems. ©2024 ieee.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Experimental Teaching Research and Application of PID controller designed by Root Locus Cluster 6

Experimental Teaching Research and Application of PID Contro...

引用

2023 ieee 6th International conference on Information systems and computer aided Education, ICISCAE 2023

作者： Jiang, Xiaoping Liu, Yurong Lei, Ruqin Xiu, Tianning Sun, Leli China University of Mining and Technology-Beijing School of Artificial Intelligence Beijing100083 China

ISBN: (纸本)9798350313444

The root locus cluster is an extension of the conventional root locus method, with applications in multi-parameter analysis and tuning. To help students master this method, this paper introduces the basic principles and drawing steps of the root locus cluster, and elaborates on the ideas of system analysis and design based on the root locus cluster. Taking PID controller parameter analysis and tuning as an example, teaching experiments are designed to provide specific procedures and simulation results, which validate the effectiveness of the method and clarify the order of PID parameter tuning based on the root locus cluster. Teaching practice has shown that this computer-aided teaching form helps deepen students' understanding of the conventional root locus method and enhances their awareness of the relationship between multi parameter, closed-loop poles and control system performance. At the same time, it enables students to master a new method for tuning PID controllers, achieving the teaching goal of applying knowledge to practice and improving teaching effectiveness. © 2023 ieee.

关键词： computer-aided teaching controller parameter tuning PID root locus root locus cluster

来源：评论

学校读者我要写书评

暂无评论

design and Simulation of Multi-target Strategy Based on Multi-dimensional UAV Series Detection 7

Design and Simulation of Multi-target Strategy Based on Mult...

引用

7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Wenjie, Gao Rongxiang, Lv Yuelin, He Headquarters of Army Artillery Air Defense Academy Hefei China

ISBN: (纸本)9798350350760

This paper proposes an innovative tandem multi-target search coordination control strategy to solve the challenge of multi-UAV searching multi-targets simultaneously in a complex unknown environment. First, we combine the closed-loop adjustment and cooperation mechanism to develop an enhanced response threshold multi-objective task assignment model based on the multi-objective assignment model of the target response threshold, which effectively solves the problem of uneven distribution of UAVs and enhances the efficiency of series detection. Secondly, we apply the two-dimensional extended Particle swarm optimization to the multi-dimensional UAV system and combine it with an improved adaptive inertia weight method to form a multi-dimensional extended particle swarm optimization algorithm with improved adaptive inertia weight. This effectively prevents the particles from falling into the local optimum and enhances the search efficiency. Finally, we integrate these two improved techniques into the UAV’s series search process. Compared with the traditional extended particle swarm optimization algorithm, this method significantly reduces the system energy consumption and search time and is verified by numerical simulation. ©2024 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

Statistical CSI-Based IRS-aided Massive MIMO SWIPT systems

Statistical CSI-Based IRS-Aided Massive MIMO SWIPT Systems

引用

2024 ieee Global Communications conference, GLOBECOM 2024

作者： Dassanayake, Janith Kavindu Gunasinghe, Dulaj Baduge, Gayan Amarasuriya Aruma Southern Illinois University School of Electrical Computer and Biomedical Engineering CarbondaleIL62901 United States

ISBN: (纸本)9798350351255

The phase-shift control of intelligent reflective surface (IRS)-aided massive multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) systems requires pilot-intensive instantaneous estimation of cascaded channels. As a remedy, in this paper, statistical composite channel state information (CSI)-based techniques for SWIPT in IRS-aided massive MIMO are explored. Two phase-shift/power optimization strategies are proposed to guarantee system-wide user-fairness in terms of the average harvested energy and achievable rates, while keeping the pilot overhead and computational complexity significantly lower than the current state-of-the-art counterparts. By considering a hybrid time-switching/power-splitting protocol with a non-linear energy harvesting model, the average harvested energy and achievable rates are quantified. This analysis considers spatially correlated fading, imperfectly estimated composite channels, and optimization of IRS phase-shifts and transmit power control based on statistical composite CSI. The design insights and performance gains of the proposed techniques are presented through numerical results. Monte-Carlo simulations are used to validate our analysis. © 2024 ieee.

关键词： Channel estimation

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：