检索结果-内蒙古大学图书馆

Two-stage ARMAX parameter identification based on bias-eliminated least squares estimation and Durban's method

Zidonghua Xuebao/Acta Automatica Sinica 2012年第3期38卷 491-496页

作者： Xin, Bin Bai, Yong-Qiang Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School The University of Manchester Manchester M15 6PB United Kingdom

This paper proposes a two-stage identification approach for the parameter identification of autoregressive moving average with exogenous variable (ARMAX) model. First, a bias-eliminated least squares method is employed to identify the autoregressive part with exogenous variable (ARX). Then, the Durbin's method is employed to transform the parameter identification of the moving average (MA) part into that of a long autoregressive (AR) model. The MA parameters are derived directly from the parameter relationship between the MA part and its equivalent long AR model. Finally, the noise variance can be computed by using the identified MA parameters. The performance comparison against the extended least-squares method in numerical simulations validates the effectiveness of the two-stage identification approach. Copyright © 2012 Acta Automatica Sinica. All rights reserved.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

A Two-stage ARMAX Identification Approach Based on Bias-eliminated Least Squares and Parameter Relationship between MA Process and Its Inverse

引用

Acta Automatica Sinica 2012年第3期38卷 491-496页

作者： Bin XIN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School University of Manchester M15 6PB Manchester UK

In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with exogenous variable (ARX) by a bias-eliminated least squares method, and the moving average (MA) part by utilizing the parameter relationship between MA process and its inverse. Finally, the noise variance can be computed by using the identified MA parameters. Numerical simulations validate the effectiveness of the proposed approach.

关键词： Autoregressive moving average with exogenous (ARMAX) model parameter identification inverse model least-squares method bias compensation

来源：评论

学校读者我要写书评

暂无评论

Editorial

引用

International Journal on Artificial Intelligence Tools 2012年第3期21卷

作者： Cui, Zhihua Shi, Zhongzhi Alex, Rajan Complex System and Computational Intelligence Laboratory School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi 030024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 China Department of Engineering and Computer Science West Texas AandM University Canyon TX 79015 United States

Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In general, multi-agent systems that use some swarm intelligence are said to be swarm intelligent systems. They are mostly used as search engines and optimization tools. The goal of this special issue has been to offer a wide spectrum of sample works throughout the world about innovative methodologies of swarm intelligence. The issue should be useful both for beginners and experienced researchers in the field of computational intelligence. © 2012 World Scientific Publishing Company.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

Stability Analysis for High Frequency Networked control systems

引用

IEEE Transactions on Automatic control 2012年第10期57卷 2694-2700页

作者： Hongjiu Yang Yuanqing Xia Peng Shi Mengyin Fu Institute of Electrical Engineering Yanshan University Qinhuangdao China School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China School of Engineering and Science Victoria University Melbourne VIC Australia Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd UK

This note generalizes the stability analysis for a high frequency networked control system. The high-frequency networked control system is described by a delta operator system with a high frequency constraint. Stability conditions are given for the high frequency delta operator system. Furthermore, by developing the generalized Kalman-Yakubovic-Popov lemma, improved stability conditions are also presented in terms of linear matrix inequalities. Some experiment results are presented to illustrate the effectiveness of the developed techniques.

关键词： Stability analysis Delay Linear matrix inequalities Frequency control Educational institutions Power system stability Numerical stability

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Antimicrobials: a global alliance for optimizing their rational use in intra-abdominal infections (AGORA)

引用

World journal of emergency surgery : WJES 2017年第1期12卷 35页

作者： M Sartelli D G Weber E Ruppé M Bassetti B J Wright L Ansaloni F Catena F Coccolini F M Abu-Zidan R Coimbra E E Moore F A Moore R V Maier J J De Waele A W Kirkpatrick E A Griffiths C Eckmann A J Brink J E Mazuski A K May R G Sawyer D Mertz P Montravers A Kumar J A Roberts J L Vincent R R Watkins W Lowman B Spellberg I J Abbott A K Adesunkanmi S Al-Dahir M N Al-Hasan F Agresta A A Althani S Ansari R Ansumana G Augustin M Bala Z J Balogh O Baraket A Bhangu M A Beltrán M Bernhard W L Biffl M A Boermeester S M Brecher J R Cherry-Bukowiec O R Buyne M A Cainzos K A Cairns A Camacho-Ortiz S J Chandy A Che Jusoh A Chichom-Mefire C Colijn F Corcione Y Cui D Curcio S Delibegovic Z Demetrashvili B De Simone S Dhingra J J Diaz I Di Carlo A Dillip S Di Saverio M P Doyle G Dorj A Dogjani H Dupont S R Eachempati M A Enani V N Egiev M M Elmangory P Ferrada J R Fitchett G P Fraga N Guessennd H Giamarellou W Ghnnam G Gkiokas S R Goldberg C A Gomes H Gomi M Guzmán-Blanco M Haque S Hansen A Hecker W R Heizmann T Herzog A M Hodonou S K Hong R Kafka-Ritsch L J Kaplan G Kapoor A Karamarkovic M G Kees J Kenig R Kiguba P K Kim Y Kluger V Khokha K Koike K Y Kok V Kong M C Knox K Inaba A Isik K Iskandar R R Ivatury M Labbate F M Labricciosa P F Laterre R Latifi J G Lee Y R Lee M Leone A Leppaniemi Y Li S Y Liang T Loho M Maegele S Malama H E Marei I Martin-Loeches S Marwah A Massele M McFarlane R B Melo I Negoi D P Nicolau C E Nord R Ofori-Asenso A H Omari C A Ordonez M Ouadii G A Pereira Júnior D Piazza G Pupelis T M Rawson M Rems S Rizoli C Rocha B Sakakushev M Sanchez-Garcia N Sato H A Segovia Lohse G Sganga B Siribumrungwong V G Shelat K Soreide R Soto P Talving J V Tilsed J F Timsit G Trueba N T Trung J Ulrych H van Goor A Vereczkei R S Vohra I Wani W Uhl Y Xiao K C Yuan S K Zachariah J R Zahar T L Zakrison A Corcione R M Melotti C Viscoli P Viale Department of Surgery Macerata Hospital Via Santa Lucia 2 62100 Macerata Italy. Department of Trauma Surgery Royal Perth Hospital Perth Australia. Genomic Research Laboratory Geneva University Hospitals Geneva Switzerland. Infectious Diseases Division Santa Maria Misericordia University Hospital Udine Italy. Department of Emergency Medicine and Surgery Stony Brook University School of Medicine Stony Brook NY USA. General Surgery Department Papa Giovanni XXIII Hospital Bergamo Italy. Department of General Maggiore Hospital Parma Italy. Department of Surgery "Infermi" Hospital Rimini Italy. Department of Surgery College of Medicine and Health Sciences UAE University Al-Ain United Arab Emirates. Department of Surgery UC San Diego Medical Center San Diego USA. Department of Surgery University of Colorado Denver Health Medical Center Denver CO USA. Department of Surgery Division of Acute Care Surgery and Center for Sepsis and Critical Illness Research University of Florida College of Medicine Gainesville FL USA. Department of Surgery University of Washington Seattle WA USA. Department of Critical Care Medicine Ghent University Hospital Ghent Belgium. General Acute Care and Trauma Surgery Foothills Medical Centre Calgary AB Canada. General and Upper GI Surgery Queen Elizabeth Hospital Birmingham UK. Department of General Visceral and Thoracic Surgery Klinikum Peine Academic Hospital of Medical University Hannover Peine Germany. Department of Clinical microbiology Ampath National Laboratory Services Milpark Hospital Johannesburg South Africa. Department of Surgery School of Medicine Washington University in Saint Louis Saint Louis MO USA. Departments of Surgery and Anesthesiology Division of Trauma and Surgical Critical Care Vanderbilt University Medical Center Nashville TN USA. Department of Surgery University of Virginia Health System Charlottesville VA USA. Departments of Medicine Clinical Epidemiology and Biostatistics and Pathology and Mo

[This corrects the article DOI: 10.1186/s13017-016-0089-y.].

关键词：

来源：评论

学校读者我要写书评

暂无评论

Online path planning for UAV low-altitude penetration based on an improved differential evolution algorithm

Beijing Keji Daxue Xuebao/Journal of University of Science a...

引用

Beijing Keji Daxue Xuebao/Journal of University of science and technology Beijing 2012年第1期34卷 96-101页

作者： Peng, Zhi-Hong Sun, Lin Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Lab. of the Ministry of Education of China for Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China

An improved differential evolution algorithm was proposed for solving the online path planning problem of unmanned aerial vehicle (UAV) low-altitude penetration in partially known hostile environments. The algorithm adopts von Neumann topology and improves its structure to maintain the diversity of the population, prevent the population from falling into local optima in the early evolution and speed up the convergence rate in the later evolution as well. The mutation operator of differential evolution is improved to speed up the convergence rate of the algorithm, so that the optimal solution of the multi-objective optimization problem can be found quickly;the coding method combined the absolute Cartesian coordinates with the relative polar coordinates is used to improve the searching efficiency. The simulation experiment of online path planning for UAV low-altitude penetration shows that the proposed algorithm has a better performance than the unimproved differential evolution algorithm.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Task allocation of multiple UAVs and targets using improved genetic algorithm

Task allocation of multiple UAVs and targets using improved ...

引用

International Conference on intelligent control and Information Processing

作者： Zuo, Yong Peng, Zhihong Liu, Xin Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology China

ISBN: (纸本)9781457708145

In this paper, task allocation of multi-Unmanned Aerial Vehicles (UAVs) is studied, that is, multi-UAVs from different bases should be allocated to attack multiple targets. Based on the existing task allocation model, which just take the values of targets, UAVs and weapons into account, the fuel consumption is added into consideration to make the model much more practical. An improved genetic algorithm is proposed for such a multi-UAVs multi-targets task allocation. Simulation results show that the algorithm is significantly effective and the allocation result is reasonable. © 2011 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

引用

UKACC International Conference on control (control)

作者： Jun Hu Zidong Wang Bo Shen Chenxiao Cai James Lam Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Information Systems and Computing Brunel University London UK Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781467315593

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme.

关键词： Upper bound Estimation Difference equations Kalman filters Educational institutions Random variables Noise

来源：评论

学校读者我要写书评

暂无评论

Modeling of GPS Code and Carrier Tracking Error in Multipath

引用

电子学报(英文版) 2012年第1期21卷

作者： CHEN Jie CHENG Lan GAN Minggang Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China

来源：评论

学校读者我要写书评

暂无评论

A class of uncertain chaotic systems using the fast terminal sliding mode control

A class of uncertain chaotic systems using the fast terminal...

引用

Chinese control Conference (CCC)

作者： Bai Yongqiang A Lata Li Xiaofang School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Institute of State 157 factory Chendu China

ISBN: (纸本)9781467325813

Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.

关键词： Sliding mode control Electronic mail Synchronization Chaotic communication Uncertainty Educational institutions

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：