检索结果-内蒙古大学图书馆

International Conference on Optimisation-based control and Estimation, 2014

作者： Necoara, Ion Patrascu, Andrei Nedić, Angelia Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest Romania Industrial and Enterprise Systems Engineering Department University of Illinois at Urbana-Champaign UrbanaIL United States

ISBN: (纸本)9783319266855

In this chapter, we derive the computational complexity certifications of first-order inexact dual methods for solving general smooth constrained convex problems which can arise in real-time applications, such as model predictive control. When it is difficult to project on the primal constraint set described by a collection of general convex functions, we use the Lagrangian relaxation to handle the complicated constraints and then, we apply dual (fast) gradient algorithms based on inexact dual gradient information for solving the corresponding dual problem. The iteration complexity analysis is based on two types of approximate primal solutions: the primal last iterate and an average of primal *** provide sublinear computational complexity estimates on the primal suboptimality and constraint (feasibility) violation of the generated approximate primal solutions. In the final part of the chapter, we present an open-source quadratic optimization solver, referred to as DuQuad, for convex quadratic programs and for evaluation of its behavior. The solver contains the C-language implementations of the analyzed algorithms. © Springer International Publishing Switzerland 2015.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

An inside look at sunspot oscillations with higher azimuthal wavenumbers

arXiv

引用

arXiv 2017年

作者： Jess, David B. Van Doorsselaere, Tom Verth, Gary Fedun, Viktor Krishna Prasad, S. Erdelyi, Robert Keys, Peter H. Grant, Samuel D.T. Uitenbroek, Han Christian, Damian J. Astrophysics Research Centre Queen's University Belfast BelfastBT7 1NN United Kingdom Department of Physics and Astronomy California State University Northridge NorthridgeCA91330 United States Centre for Mathematical Plasma Astrophysics Department of Mathematics KU Leuven Celestijnenlaan 200B bus 2400 HeverleeB-3001 Belgium University of Sheffield Hicks Building Hounsfield Road SheffieldS3 7RH United Kingdom Space Systems Laboratory Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom National Solar Observatoryy University of Colorado Boulder 3665 Discovery Drive BoulderCO80303 United States

Solar chromospheric observations of sunspot umbrae offer an exceptional view of magnetohydrodynamic wave phenomena. In recent years, a wealth of wave signatures related to propagating magneto-acoustic modes have been presented, which demonstrate complex spatial and temporal structuring of the wave components. Theoretical modelling has demonstrated how these ubiquitous waves are consistent with an m = 0 slow magneto-acoustic mode, which are excited by trapped sub-photospheric acoustic (p-mode) waves. However, the spectrum of umbral waves is broad, suggesting that the observed signatures represent the superposition of numerous frequencies and/or modes. We apply Fourier filtering, in both spatial and temporal domains, to extract chromospheric umbral wave characteristics consistent with an m = 1 slow magneto-acoustic mode. This identification has not been described before. Angular frequencies of 0:037 ± 0:007 rad/s (2:1 ± 0:4 deg/s, corresponding to a period ≈170 s) for the m = 1 mode are uncovered for spatial wavenumbers in the range of 0:45 -1(5000 - 9000 km). Theoretical dispersion relations are solved, with corresponding eigenfunctions computed, which allows the density perturbations to be investigated and compared with our observations. Such magnetohydrodynamic modelling confirms our interpretation that the identified wave signatures are the first direct observations of an m = 1 slow magneto-acoustic mode in the chromospheric umbra of a sunspot. Copyright © 2017, The Authors. All rights reserved.

关键词： Magnetos

来源：评论

学校读者我要写书评

暂无评论

VANET throughput model scenarios for authorized V2V communication 19

VANET throughput model scenarios for authorized V2V communic...

引用

IEEE 19th International Conference on Intelligent engineering systems, INES 2015

作者： ɰurech, Ján Franeková, Mária Holečko, Peter University of Žilina Faculty of Electrical Engineering Department of Control and Information Systems Žilina Slovakia

ISBN: (纸本)9781467379397

The paper focuses on the current problem of cryptographic load influence on message transmission within V2V communication in VANETs (Vehicular Ad Hoc Networks) in relation to cooperative intelligent transport systems. In the experimental part actual data gathered from the D1 highway is used to model distinct traffic scenarios for several digital signatures schemes utilised to ensure credibility of transmitted messages. © 2015 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Stochastic MPC of systems with Additive Disturbance using Scenario Optimization

Stochastic MPC of Systems with Additive Disturbance using Sc...

引用

作者： Lin, Xiaohai Görges, Daniel Caba, Sebastian Liu, Steven Department of Electrical and Computer Engineering University of Kaiserslautern Kaiserslautern Germany Institute of Control Systems Department of Electrical and Computer Engineering University of Kaiserslautern Kaiserslautern Germany

In this paper a stochastic model predictive control (SMPC) scheme for linear systems with additive disturbance is presented. The goal is to design a controller that minimizes the expected value of an objective function while guaranteeing mean-square exponential input-tostate stability (MSE-ISS) and constraints on the states and inputs. The SMPC is partitioned into an offline computation based on a bilinear matrix inequality (BMI) problem for ensuring ISS, constraint satisfaction, and recursive feasibility and an online optimization based on a quadratically constrained quadratic programming (QCQP) problem for including knowledge about the additive disturbance while relaxing ISS to MSE-ISS. The partition into an offliine computation and online optimization allows addressing stability, feasibility, and performance separately and therefore improving performance as well as handling disturbances which may not be independent identically distributed (i.i.d.). The effectiveness of the SMPC scheme is evaluated by simulations and assessed by comparison with a robust MPC scheme. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

A Simultaneous Iterative Learning control and Dynamic Modeling Approach for A Class of Nonlinear systems

引用

IFAC-PapersOnLine 2015年第28期48卷 368-373页

作者： Hou, Zhongsheng Yu, Qiongxia Xu, Jian-Xin Yin, Chenkun Advanced Control Systems Laboratory Beijing Jiaotong University Beijing100044 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore

This paper presents a novel simultaneous iterative learning control and dynamic modeling (SILCDM) approach. For a class of unknown and repeatable nonlinear discrete-time systems, a model-free iterative learning control (ILC) method is applied first. Meanwhile, by using the data generated during the repetitive operations, a novel iterative learning parameter estimation algorithm is proposed to calibrate the unknown time-varying parameter in the nonlinear system with known structure simultaneously. After the model parameter is well identified, the accurate dynamic model of the controlled plant is obtained. With this identified model, the model-free ILC method is then switched to a model-based optimal ILC method in order to get much better control performance. The theoretical analysis shows that the proposed pproach guarantees the convergence of both the system state and the parameter identification. The effectiveness of the SILCDM is further demonstrated through simulations. © 2015

关键词： Two term control systems

来源：评论

学校读者我要写书评

暂无评论

Design and engineering implementation of non-supplementary fired compressed air energy storage system: TICC-500

引用

Science China(Technological Sciences) 2015年第4期58卷 600-611页

作者： MEI Sheng Wei WANG Jun Jie TIAN Fang CHEN Lai Jun XUE Xiao Dai LU Qiang ZHOU Yuan ZHOU Xiao Xin State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua University Key Laboratory of Cryogenics Technical Institute of Physics and Chemistry Chinese Academy of Sciences Department of Power Systems China Electric Power Research Institute

The integration and accommodation of the wind and solar energy pose great challenges on today’s power system operation due to the intermittent nature and volatility of the wind and solar *** efficient large-scale electrical energy storage is one of the most effective and economical solutions to those *** the comprehensive review of the existing storage technologies,this paper proposes an overall design scheme for the Non-supplementary Fired Compressed Air Energy Storage(NFCAES)system,including system design,modeling and efficiency assessment,as well as protection and ***,the design principles of the multistage regenerative,*** recovery system which is used to fully recycle and utilize the waste heat from compression are provided,so as the overall system efficiency evaluation *** paper theoretically ascertains the storage decoupling rules in the potential and internal energy of molecular compressed air and reveals the conversion mechanism of gas,heat,power,electricity and other forms of *** this basis,a 500-k W physical simulation system of CAES system(TICC-500,Tsinghua-IPCCAS-CEPRI-CAES)is built,which passed a system-wide 420-k W load power generation test with less pollution and zero carbon ***,the multi-form energy conversion of multi-stage regenerative CAES and storage efficiency is verified,especially its incomparable superiority in solving the uncertainty problem in wind and solar power ***,the propaganda and application scenario of the CAES system in China is introduced.

关键词： index terms-compressed air energy storage non-supplementary fired regenerative/heat recovery multi-stage expansion TICC-500

来源：评论

学校读者我要写书评

暂无评论

Recovering Missing Data via Matrix Completion in Electricity Distribution systems

Recovering Missing Data via Matrix Completion in Electricity...

引用

IEEE International Workshop on Signal Processing Advances in Wireless Communications

作者： Cristian Genes Inaki Esnaola Samir M. Perlaza Luis F. Ochoa Daniel Coca Department of Automatic Control and Systems Engineering University of Sheffield S1 3JD UK CITI Lab of the Institut National de Recherche en Informatique et en Automatique (INRIA) Université de Lyon France School of Electrical and Electronic Engineering University of Manchester M13 9PL UK

ISBN: (纸本)9781509017508

The performance of matrix completion based recovery of missing data in electricity distribution systems is analyzed. Under the assumption that the state variables follow a multivariate Gaussian distribution the matrix completion recovery is compared to estimation and information theoretic limits. The assumption about the distribution of the state variables is validated by the data shared by Electricity North West Limited. That being the case, the achievable distortion using minimum mean square error (MMSE) estimation is assessed for both random sampling and optimal linear encoding acquisition schemes. Within this setting, the impact of imperfect second order source statistics is numerically evaluated. The fundamental limit of the recovery process is characterized using Rate-Distortion theory to obtain the optimal performance theoretically attainable. Interestingly, numerical results show that matrix completion based recovery outperforms MMSE estimator when the number of available observations is low and access to perfect source statistics is not available.

关键词： Estimation Minimization Electricity Distribution systems State variable missing data Completion Rate distortion theory matrices Mean square error RECOVERY PROCESS

来源：评论

学校读者我要写书评

暂无评论

Unit-level modelling for KPI of batch hot strip mill process using dynamic partial least squares

引用

IFAC-PapersOnLine 2015年第28期48卷 1005-1010页

作者： Zhang, Kai Shardt, Yuri A. W. Chen, Zhiwen Ding, Steven X. Peng, Kaixiang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB Duisburg47057 Germany Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology of Beijing Beijing100083 China

This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of the process and develops a nonlinear iterative dynamic partial least squares (PLS) model. The second approach takes into consideration the multibatch property of HSMP to develop an appropriate multibatch modelling framework. Both approaches can be integrated into the dynamic model framework. The proposed framework is examined using industrial data obtained from a steel plant, where it provides a decent model for this process. However, there exists the potential for improvements including dealing with interbatch variability. © 2015, IF AC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Strip mills Benchmarking Least squares approximations Steelmaking Strip metal Waste disposal Hot strip mills Industrial datum Key performance indicators Model framework Modelling framework Multibatch Partial least square (PLS) Partial least squares models

来源：评论

学校读者我要写书评

暂无评论

AC-constrained Optimal Power Flow Considering Wind Power Generation Uncertainty in Radial Power Networks 34

AC-constrained Optimal Power Flow Considering Wind Power Gen...

引用

第三十四届中国控制会议

作者： LIU Bin LIU Feng MEI Shengwei State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua University

ISBN: (纸本)9781467374439

Wind power generation uncertainty has imposed great challenge on power systems' operation and should be considered when making an operation *** this paper,we focus on optimal power flow(OPF) problem in radial power networks while considering wind power generation *** cope with this uncertainty,the stochastic AC-constrained OPF(ACOPF) problem considering both continuous and discrete devices is formulated based on our previous *** second order cone relaxation is employed to relax the original mixed integer nonconvex nonlinear programming(MINNLP) problem to a mixed integer second order cone programming(MISOCP) problem which can be solved by commercial solvers with high computation *** modified IEEE 33 bus distribution system is studied in this paper which validate the effectiveness of the proposed model.

关键词： optimal power flow wind power stochastic optimization radial power networks uncertainty set

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Short-Term Load Forecasting With Conditional Mean-Variance and Quantile Regression Models

Probabilistic Short-Term Load Forecasting With Conditional M...

引用

European control Conference

作者： Can Bikcora Lennart Verheijen Siep Weiland the Control Systems Group Department of Electrical Engineering Eindhoven University of Technology 5600 MB Eindhoven The Netherlands GreenFlux Assets B.V. 1092 AD Amsterdam The Netherlands

ISBN: (纸本)9781509025923

For the day-ahead density forecasting of electricity load, this paper proposes the combination of the autoregressive moving average (ARMA) model and the generalized autoregressive conditional heteroskedasticity (GARCH) model, with both of them admitting exogenous inputs. This composite structure on the conditional mean and variance is referred to as the ARMAX-GARCHX model. As an alternative to its estimation by means of log-likelihood maximization, approaches based on iterative least-squares (ILS) and nonlinear least-squares (NLS) are considered. Apart from the ARMAX-GARCHX model, quantile regression models (QRMs) are also tested in forecasting where a wide range of quantiles are separately modeled to approximate a density. Phase currents of several low voltage transformer cables from the Netherlands are forecasted to compare the performances, and as the probabilistic evaluation criterion, the continuous ranked probability score is used. As an outline of the results, the ARMAX-GARCHX model outperformed QRMs and among its estimation techniques, the likelihood-based approach had the best performance, though the differences in the errors are often minor. Thus, owing to its computational simplicity, the ILS solution can be a valuable option when processing large batches of data in practice.

关键词： ARMA GARCH ARMAX-GARCHX

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：