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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是181-190 订阅

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Research on PID Parameter Self-Tuning Speed control System Based on Grasshopper Optimazation Algorithm-Optimized BP Neural network 3

Research on PID Parameter Self-Tuning Speed Control System B...

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3rd International conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Huang, Yifan Huang, Yonghong Jiangsu University School of Electrical and Information Engineering Zhenjiang China

ISBN: (纸本)9798350318180

In response to the limitations associated with conventional PID control strategies, which rely heavily on predetermined design parameters and struggle to provide precise, stable motor speed and current control, particularly in the presence of disturbances, we have developed a novel double closed-loop DC speed regulation system. This system incorporates a self-tuning PID mechanism based on the Grasshopper algorithm optimization neural network. To achieve this, we employed a Back-Propagation (BP) neural network to autonomously fine-tune the parameters of the PID control strategy. Subsequently, during the backpropagation phase of the neural network training, we harnessed the Grasshopper algorithm to optimize these parameters based on a fitness function, leading to the calculation of updated weighting coefficients. Following this iterative process, the output voltage was computed using the incremental PID formula, enabling precise motor control. Remarkably, this approach reduced overshoot by 30%, all without the need for preemptive control parameter adjustments. Moreover, the rise time experienced only a marginal increase of approximately 0.06 seconds. These advancements effectively address the limitations associated with traditional PID control strategies, expanding their utility beyond narrow operational ranges and enhancing performance in complex working conditions. The outcome is a speed regulation system characterized by significantly improved accuracy and robustness, ideally suited to meet the demanding requirements of engineering applications. © 2023 IEEE.

关键词： BP neural network component Grasshopper algorithm PID control Precise control Speed control system

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Computing Force network self-intelligence Based on Intent Driven and Digital Twin 3

Computing Force Network self-intelligence Based on Intent Dr...

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3rd International conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Li, Xiangning Cai, Yuqian Tian, Jingyue China Telecom Beijing Research Institude 6G Research Centre Beijing China

ISBN: (纸本)9798350316674

Introducing intent-driven network technology and digital twin network technology into the computing force network can solve the problem of unified management and scheduling of the computing force network and the high delay of data routing. Intent-driven network, based on technologies such as AI (artificial intelligence) and nfV (network function virtualization), can translate the service, performance and networking intents expected by users or operators into actual networking policies, so as to realize efficient and flexible reconfiguration of computing force networks. Digital twin network realizes efficient analysis, diagnosis and control of the computing force network by high-fidelity virtual real-time interaction. Combining intent-driven and digital twin, a self-intelligent optimization process of computing force network is proposed, which realizes the low delay self-organizing closed-loop control of user intent-based computing force network and the cross-domain regulation of computing force resources. © 2023 IEEE.

关键词： computing force network digital twin intent-driven

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Voltage control Strategy for Cooperative Regulation of Fast and Slow Devices in Active Distribution network 3

Voltage Control Strategy for Cooperative Regulation of Fast ...

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3rd International conference on Intelligent Power and Systems, ICIPS 2023

作者： Dong, Guangde Chen, Yongtao Zhu, Xiaojun Chen, Tao Zhou, Yiyao Wang, Qianggang State Grid Chongqing Electric Power Company Electric Power Research Institute Chongqing China Chongqing University State Key Laboratory of Power Transmission Equipment Technology Chongqing China

ISBN: (纸本)9798350328691

Although voltage control of an active distribution network (ADN) is regulated by voltage regulation devices which can be classified according to the speed of voltage regulation, devices, slow devices lack intra-day regulation flexibility, whereas fast devices have a narrow voltage regulation range. To enable intra-day cooperative regulation of fast and slow devices in an ADN, we propose a voltage control strategy comprising a mixed-integer nonlinear programming (MINLP) model considering predictive variables. We introduced a strict time constraint, limited the solution range via scene filtering, and converted discrete variable to continuous ones based on Gaussian penalty function (GPF), which was further solved using the firework algorithm (FWA) to obtain quick and accurate optimization results. Compared to the traditional voltage control strategy, the proposed strategy can increase voltage control range and accelerate convergence speed, and its effectiveness was verified using an actual circuit in the Anhui province. ©2023 IEEE.

关键词： Nonlinear programming

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Performance Analysis of Software-Defined networks (SDN) via POX controller Simulation in Mininet 3rd

Performance Analysis of Software-Defined Networks (SDN) via ...

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3rd International conference on Advanced network Technologies and Intelligent Computing (ANTIC)

作者： Priya, L. Rajagopalan, Narendran Natl Inst Technol Dept Comp Sci & Engn Pondicherry India

ISBN: (纸本)9783031640759;9783031640766

Traditional networks are difficult to manage because the software that controls the network (the control plane) is tightly coupled with the hardware that forwards traffic (the data plane). Each router makes its own decisions, which can lead to inefficiencies and conflicts. Software-defined networking (SDN) addresses these limitations by decoupling the control and data planes. This allows for direct programming of network control and makes the network more flexible and manageable. SDN platforms offer several benefits, including programmability, virtualization, and simplified network management. However, they also face challenges related to scalability and performance. It is therefore important to understand and assess SDN performance before deploying it in real-world networks. This paper explores the operation of SDN with the POX controller and assesses its performance metrics. POX is an open-source SDN controller built on the Python platform. It is a valuable tool for developing and monitoring new network applications with a number of hosts. It is also easy to deploy because it is installed by default in the Mininet environment. Mininet is the emulation tool that is used to run the various topologies in the SDN environment, and the topologies are viewed in the MiniEdit tool. The work evaluates the performance of a custom-based Linear Topology network with 10 hosts and 10 switches which are created in the POX controller. The experimentation results examine the performance of node-to-node delivery, network bandwidth, and round-trip time in Linear Topology. The future aim is to evaluate all types of topologies in Ryu as well as Java-based controllers to know optimization results for future research work.

关键词： Traditional network Software Defined network Mininet Openflow Protocol POX controller

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Proceedings of 2023 3rd International conference on Bioinformatics and Intelligent Computing, BIC 2023

Proceedings of 2023 3rd International Conference on Bioinfor...

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3rd International conference on Bioinformatics and Intelligent Computing, BIC 2023

ISBN: (纸本)9798400700200

The proceedings contain 69 papers. The topics discussed include: research on the characteristics of free-living nematode community in the Dagu Estuary of Qingdao based on mathematical and intelligent analysis tools;preliminary investigation of a reactors core design optimization;a multi-operator-based large-scale multi-objective optimization evolutionary algorithm;convolutional hybrid kernel network for in-vitro transcription factor binding sites;three-dimensional point cloud reconstruction and body ruler measurement of pig body under multi-angle KinectV2;a deep learning based end-to-end surface defect detection method for industrial scenes;research on the development of a digital conservation system for cultural relics based on image recognition technology;parametric design of orthotics for abnormal arches in school-age children;and evaluation method of object control capability for children based on nonlinear dynamics.

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Third International conference on Intelligent Mechanical and Human-Computer Interaction Technology, IHCIT 2024

Third International Conference on Intelligent Mechanical and...

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3rd International conference on Intelligent Mechanical and Human-Computer Interaction Technology, IHCIT 2024

ISBN: (纸本)9781510683105

The proceedings contain 72 papers. The topics discussed include: lightweight design method of LPG tanker by using high strength steel based on finite element analysis;cooperative guidance control design for multi-agent vehicles;design optimization of electric aircraft scheme for minimum life cycle cost;design of intelligent vehicle for thermal engine power based on OPENMV;precision compensation method of manipulator based on neural network and particle swarm optimization;study of the mechanism of bird flight formation — upstream blade affecting the aerodynamic performance of downstream blade;design and research of an intelligent dimming system for electronic table lamp based on 51 microcontroller;research on aging design of smart home control panel interface;research on sliding mode coordinated control of yaw stability of distributed drive electric wheel vehicle;and scheduling optimization for highly customized shop assembly production based on improved NSGA-II algorithm.

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2023 3rd International conference on Energy Engineering and Power Systems, EEPS 2023

2023 3rd International Conference on Energy Engineering and ...

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3rd International conference on Energy Engineering and Power Systems, EEPS 2023

ISBN: (纸本)9798350313857

The proceedings contain 207 papers. The topics discussed include: operation and configuration analysis of a power storage system with a high proportion of wind power;economic optimal operation of integrated rural single household energy systems;an adaptability hybrid-frequency interleaved control strategy for double-frequency converters with parameter uncertainties;simulation analysis of conductive carbon black and hydrogen prepared by partial oxidation of benzene-doped acetylene;reliability evaluation of power generation system considering planned maintenance and energy storage;new technology and integrated optimization of distributed energy storage power generation;regional short-term power load forecasting considering user electricity consumption and seasonal characteristics;disturbance identification of power quality based on Markov transition field and deep residual network;and effect of discharge amplitude on electrical trees based on three-capacitance model.

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Mobile Topology Learning of a Linear Dynamic network 3

Mobile Topology Learning of a Linear Dynamic Network

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3rd Modeling, Estimation and control conference (MECC)

作者： Wu, Fan Zou, Qingze Rutgers State Univ New Brunswick NJ 08854 USA

ISBN: (纸本)9781713872344

In this paper, the problem of identifying the topology of a linear dynamic network using data acquired from a mobile agent is considered. network topology learning is important in various areas where not only the direction of the node connections, but also the time-dependent characteristics of these connections need to be identified. Mobile-sensing related issues such as the measurement cost, however, have not yet been accounted for in the existing work. The proposed approach combines the Wiener filter technique with gradient-based optimization to minimize the total estimation error in the output (i.e., the node response), and then, the cost in terms of the total measurement time. A simulation example of identifying a 6-node network is presented to illustrate the proposed approach. The simulation results show that for the network of inter-node dynamics of a wide range of characteristics (time constants), both the direction, existence, and dynamics of the inter-node connections can be accurately identified by using the proposed approach. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Mobile sensing network topology learning Wiener filter gradient-based method moving-horizon optimization

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optimization Study on Denitration of Coal Fired Units under Deep Peak shaving 3

Optimization Study on Denitration of Coal Fired Units under ...

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3rd International conference on New Energy and Power Engineering, ICNEPE 2023

作者： Chen, Zhaojin Yu, Zhenggong Wang, Changgeng Li, Xukai Cui, Yanhong Wu, Yongxin Guo, Hongyi Zhao, Zhigang Wang, Li Zhang, Wenjing Ji, Ke Cheng, Liping Fang, Xiaoxu Long, Junfeng Cao, Yongxing Inner Mongolia Datang International Tuoketuo Power Generation Co. Ltd. Huhehaote China North China Electric Power Test and Research Institute China Datang Corporation Science and Technology Research Institute Beijing China

ISBN: (纸本)9798350393224

With the deep integration of new energy generation systems, the safe and stable operation of the power grid is facing new challenges. It is imperative to improve the deep load regulation capacity of thermal power generation units. The rapid and deep changes in unit load can lead to severe fluctuations in the combustion process, which in turn affects the control of NOx emissions in the unit. This article analyzes the causes of the problems from the perspective of the thermal engineering profession, focuses on solving the problems in the denitrification system, and establishes a boiler NOx prediction model based on BP neural network From the perspective of environmental safety and economy, it proposes an automatic optimization plan for ammonia injection in the denitrification control system. After implementation, the environmental protection parameter NOx closed-loop automatic control is achieved, effectively ensuring NOx emission meets the standard. It is of great significance to achieve deep load regulation and NOx emission control in thermal power plants. © 2023 IEEE.

关键词： Automatic control Deep peak shaving Denitration optimization Ultra-low emission coal-fired units

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BICC: Optimizing Sensor network Performance Via an Efficient Bioinspired Iterative Approach with Congestion control 3rd

BICC: Optimizing Sensor Network Performance Via an Efficient...

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3rd International conference on Computational Electronics for Wireless Communications, ICCWC 2023

作者： Mutneja, Lovely S. Harkut, Dinesh G. Thakar, Prachi D. PRMCEAM Badnera India

ISBN: (纸本)9789819719457

Sensor networks are the backbone of emerging Internet of Things (IoT) ecosystems, serving as critical components in various applications ranging from environmental monitoring to smart cities. However, the Quality of Service (QoS) in sensor networks is compromised by issues such as communication delay, energy consumption, and throughput limitations. To address these challenges, this paper introduces a novel optimization algorithm called Ant Lion Grey Wolf Optimizer (ALGWO). Inspired by the foraging behaviour of ant lions and the hunting strategies of grey wolves, ALGWO aims to optimize both temporal and spatial routing in sensor networks. It uses spatial node features, and temporal network parameters to optimize routing performance under real-time scenarios. The algorithm deploys bioinspired techniques for iterative search and congestion control mechanisms to enhance network performance. Our experiments demonstrate remarkable improvements in QoS parameters: an 8.3% reduction in communication delay, a 4.9% decrease in energy consumption, and a 10.4% boost in throughput when compared to recently proposed routing models. The findings indicate that ALGWO provides a robust and efficient framework for optimizing sensor network performance, holding significant promise for real-world applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Congestion control (communication)

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