检索结果-内蒙古大学图书馆

2nd International Conference on Artificial Intelligence and computer Science, AICS 2020

作者： Zheng, Ling Ye, Xin Chen, Fei Department of Computer Science and Technology North China Electric Power University Faculty of Control and Computer Engineering room E1112 No. 2 Beinong Road Huilongguan Town Changping District Beijing China

In order to improve the reliability and accuracy of the main steam temperature trend prediction, a main steam temperature prediction model based on improved LSTM is proposed. Firstly, uses the grey correlation analysis method to select the important influencing factors. Then, a linear structure is introduced into the LSTM structure to construct a main steam temperature prediction model. Finally, based on the historical operating data of the thermal power unit, a simulation experiment is performed to compare the prediction error of the output of the RNN model, the LSTM model, and the improved LSTM model. The results show that the method has higher prediction accuracy for the main steam temperature. At the same time, compared with other traditional methods, this method has better fitting effect, which can be well applied in practical engineering. © Published under licence by IOP Publishing Ltd.

关键词： Correlation methods

来源：评论

学校读者我要写书评

暂无评论

control and decision method for overtaking problem in autonomous vehicles 16

Control and decision method for overtaking problem in autono...

引用

16th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, VSDIA 2018

作者： Hegedűs, Tamás Németh, Balázs Bede, Zsuzsanna Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Stoczek utca. 2 BudapestH-1111 Hungary Systems and Control Laboratory Institute for Computer Science and Control Kende utca 13-17 BudapestH-1111 Hungary

In this paper we deal with an overtaking and lane change strategy for autonomous vehicles. The algorithm is divided into two main layers. The upper layer is responsible for the decision making (e.g lane changing). Before decision-making we predict the motion of other participants and divide the road into discrete sets in each interval, then we compute the probability of occupancy. Considering the state of the motion of ego vehicle we can compute the probability of collision. After assigning a graph points to discrete elements, the probability of collision is ordered to the graph edges, then we determine the route with the smallest cost. The decision-making algorithm is not able to control the vehicle, so it is necessary to design a traceable trajectory for the vehicle. Since we have a series of points to be reached for the future, this can be used as a reference vector for the trajectory design algorithm. One Model Predicitve controller (MPC) is responsible for the design of the trajectory so we can obtain limitations to several states to ensure comfort and security. Extending the algorithm, we can compute the longitudinal movement as well. In this paper the decision-making and the trajectory planning algorithm is presented, and the whole model validated in CarMaker. © 2019 Budapest University of Technology and Economics. All rights reserved.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Observer-based iterative learning control design in the repetitive process setting

引用

IFAC-PapersOnLine 2017年第1期50卷 13390-13395页

作者： Paszke, Wojciech Rogers, Eric Patan, Krzysztof Institute of Control and Computation Engineering University of Zielona Góra ul. Szafrana 2 Zielona Góra65-516 Poland Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

This paper considers the design of an observer-based iterative learning control law for discrete linear systems using repetitive process stability theory The resulting design produces a stabilizing feedback controller in the time domain and a PD-type of feedforward controller that guarantees monotonic convergence in the trial-to-trial domain. Furthermore, the new design procedure includes limited frequency range specifications, which will be of particular interest in some applications. All design computations required for the new results in this paper can be completed using linear matrix inequalities. A simulation example is given to illustrate the theoretical developments. © 2017

关键词： Linear matrix inequalities controllers Design Discrete time control systems Learning algorithms Linear systems Two term control systems Design computations Discrete linear systems Feed forward controllers Iterative learning control Iterative learning control laws Linear repetitive process Monotonic convergence Theoretical development

来源：评论

学校读者我要写书评

暂无评论

Development of hydroxyapatite-enhanced membrane for nanoplastics removal: multiple scenarios and mechanism exploration

引用

Journal of Hazardous Materials 2025年

作者： Mengna Li Guohe Huang Shuguang Wang Jing Huang Zeyuan Xu Environmental Systems Engineering Program University of Regina Regina Saskatchewan S4S 0A2 Canada China-Canada Center of Energy Environment and Sustainability Research UR-SDU School of Environmental Science and Engineering Shandong University Qingdao 266237 China Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and Engineering Shandong University Qingdao 266237 China Department of Electrical Computer and Biomedical Engineering University of Pavia 27100 Pavia Italy

Nanoplastics (NPs) are widespread in wastewater systems and more toxic than microplastics (MPs), necessitating effective removal techniques. Although membranes can effectively remove MPs, their efficiency and mechanisms for NPs removal require further study. A novel hydroxyapatite functionalized PVDF (HAPF) membrane was developed for NPs removal. The optimized HAPF membrane was prepared via a one-step method with 800 mg/L HAP at pH 7.3 for 8 hours. It achieved a water flux of 4376.44 LMH, 3.4 times higher than that of the pristine PVDF membrane, while maintaining a polystyrene (PS) NPs rejection above 99.5%. The HAPF membrane maintained 95% of its pure water flux when treating wastewater with only PS NPs, but exhibited severe flux decline under varying conditions, such as surface-functionalized PS NPs, pH changes, or coexisting contaminants. Among these, the presence of MgSO 4 alongside PS NPs caused the most severe water flux reduction, with the HAPF membrane undergoing complete blocking, followed by the formation of a cake layer. XDLVO results revealed that there is an attractive interaction between the HAPF membrane and PS NPs, primarily driven by acid-base interaction. The HAPF membrane exhibited significantly lower R m and R f values than the PVDF membrane and achieved a flux recovery rate of 92.94% over multiple fouling-cleaning cycles. Its water flux was 18.9 times that of the PVDF membrane during long-term filtration. The developed HAPF membrane holds significant potential for advanced water treatment and fouling.

关键词： Hydroxyapatite functionalized PVDF (HAPF) membrane nanoplastic removal coexisting pollutants XDLVO theory Hermia theory

来源：评论

学校读者我要写书评

暂无评论

Ultrasonic imaging of defects in concrete pipelines

引用

AIP Conference Proceedings 2002年第1期615卷 1254-1260页

作者： Michael Ciocco Jeremy Neyhart Shreekanth Mandayam Kauser Jahan Douglas B. Cleary 1Department of Electrical and Computer Engineering Rowan University Glassboro New Jersey 08028 2Department of Civil and Environmental Engineering Rowan University Glassboro New Jersey 08028

This paper describes the first stage of a research project to develop an automated vehicle for inspecting the structural integrity of concrete sewer pipelines. We have developed an innovative interrogation and signal processing algorithm for detecting and sizing defects in concrete media, irrespective of the composition of the concrete—a crucial factor for realizing an in-line inspection process for concrete pipes. We have simulated concrete pipeline inspection by fabricating concrete specimens of diverse compositions embedded with rectangular defects of varying depths immersed in synthetic wastewater of varying density. We present ultrasonic C-scans and their corresponding defect characterization profiles.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Efficient Augmentation of Human Action Recognition Datasets with Warped Windows

引用

Procedia computer Science 2022年 207卷 3018-3027页

作者： Dawid Warchoł Mariusz Oszust Department of Computer and Control Engineering Faculty of Electrical and Computer Engineering Rzeszow University of Technology W. Pola 2 35-959 Rzeszow Poland

In this paper, an approach to augment action recognition time series datasets, devoted to improving the accuracy of deep learning classifiers, is proposed. In the introduced method, two operators are sequentially introduced that perform linear and nonlinear modifications in the time scale of the input time series. The resulting data samples contribute to the variability within classes and allow a deep learning-based classifier to better capture their boundaries, leading to a significant improvement in the classification accuracy. The extensive experiments performed on eight publicly available action recognition datasets using the popular Bidirectional Long Short-Term Memory (BiLSTM) classifier reveal the superiority of the proposed algorithm over related approaches.

关键词： data augmentation time series skeletal data human action recognition long short term memory

来源：评论

学校读者我要写书评

暂无评论

Data-driven energy demand forecasting for electric vehicle charging infrastructure

Data-driven energy demand forecasting for electric vehicle c...

引用

2023 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2023

作者： Meddi, Silvia Cavaglion, Sara Cerquitelli, Tania Manfredi, Emanuele Regalia, Andrea Menolascino, Raffaele Zardo, Guido Accenture S.p.A. Italy Department of Control and Computer Engineering Politecnico di Torino Italy F2M eSolutions Italy Politecnico di Torino Italy

In the era of Big Data and electric vehicles growth by market, data-driven methodologies assume a crucial role to create valuable information. The focus is on supporting the decision-making process for the development of an accurate charging infrastructure. Forecast analysis allows prediction of energy demand over the network. This supports growing trends with a consequent increase in customer satisfaction. By anticipating potential breakdowns due to infrastructure overloads, maintenance costs are reduced. In this paper, we focus on analyzing charging sessions data together with external data (weather and population information and energy/fuel prices) collected from different sources. The proposed methodology, named GEORGE (enerGy dEmand fOrecasting foR charGing infrastructurE), offers a building-blocks based approach for the monthly energy demand forecasting. The approach is both generalisable and data-specific. We discuss the results of a classification learning approach to predict a belonging range of kwh for a charge point. In particular the most promising model has good performances in predicting high utilization and is more advantageous to support the company's decision-making process. Many possible developments are discussed to improve the prediction. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (***)

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

State of the Art of Repetitive control in Power Electronics and Drive Applications

IEEE Open Journal of Industry Applications

引用

IEEE Open Journal of Industry Applications 2022年 3卷 13-29页

作者： Tang, Mi Di Benedetto, Marco Bifaretti, Stefano Lidozzi, Alessandro Zanchetta, Pericle Power Electronics Machine and Control Group University of Nottingham NottinghamNG7 2GT United Kingdom Roma Tre University C-PED Center for Power Electronics and Drives Rome00154 Italy Department of Industrial Engineering University of Rome 'Tor Vergata' Rome00133 Italy Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia27100 Italy

Power electronic systems present a non-linear behavior mainly due to their switching nature. This is often combined with their interaction with non-linear systems, such as other switching converters, diode rectifiers, motor drives, etc. and with possible non linearities of the power grid in the case of grid connected systems. The major effect of these non-linear interactions is the generation of harmonic distortion on voltages and currents (both in DC and AC), which needs to be compensated to achieve high power quality systems. The use of passive filters is often the simplest and most immediate solution;however, this decreases converter efficiency and increases its weight and volume. Thus, the use of a control strategy capable of tracking periodic signals, rejecting periodic disturbance and largely improving steady state behavior and harmonic distortion with a limited bandwidth is a very desirable feature. Repetitive control (RC) represents an extremely practical and efficient solution for the aforementioned issues, and it is widely employed in many different applications. This paper focuses on state of the art of RC used in power electronics and drives. RC basic concepts, different control structures, design methods, fixed and variable frequency operating conditions, etc. are investigated. Furthermore, many example applications and existing control approaches developed in recent years for power electronics and drive systems based on RC, have also been discussed in detail. © 2020 IEEE.

关键词： Electric drives

来源：评论

学校读者我要写书评

暂无评论

Safety zones based Robustly Feasible Model Predictive control for nonlinear network systems

Safety zones based Robustly Feasible Model Predictive Contro...

引用

作者： Brdys, Mietek A. Tran, Vu Nam Kurek, Wojtek Depeartment of Electronics Electrical and Computer Engineering University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom Department of Control Systems Engineering Faculty of Electrical and Control Engineering Gdansk University of Technology ul. Narutowicza 11/12 80 233 Gdansk Poland

ISBN: (纸本)9783902661937

The paper considers design of Robustly Feasible Model Predictive controller which achieves recursive robust feasibility of the generated control actions when applied to nonlinear network systems with state constraint under bounded disturbances. The optimizing control algorithm with safety zones modifying the model based state constraints is derived to achieve recursive robust feasibility. Its performance is illustrated by application to optimizing control of hydraulics in Drinking Water Distribution System example. Copyright © 2011 IFAC.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Delivering ancillary services with data centres

Delivering ancillary services with data centres

引用

作者： Aikema, David Simmonds, Rob Zareipour, Hamidreza Department of Computer Science University of Calgary Calgary AB T2N 1N4 Canada Energy Systems and Control Group Department of Electrical and Computer Engineering University of Calgary Calgary AB T2N 1N4 Canada

Ancillary services are the mechanisms power grids use to address short-term variability in supply and demand as well as the impact of power plant or transmission line failures. Organizations providing such services can earn revenue or at least reduce their energy costs. This paper explores options for large data centres to reduce costs in this way. Simulation results are presented for a system that models the processing of a workload and the resulting energy use, focusing on the impact of providing specific types of ancillary services. Trace data recording the workload from three supercomputing facilities along with pricing information from a US-based electrical grid are used. Results presented show energy costs reduced by up to 12% with only a small impact on the quality of service provided to users of the data centre. Further reductions in energy costs are shown for data centres willing to cede more control over short-term energy consumption. The potential of ancillary services markets are compared against following-the-renewables approaches, using wind farm data to argue why providing ancillary services may be more effective than optimizing operations based on the production of local renewables.© 2013 Elsevier Inc. All rights reserved.

关键词： Smart power grids

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：