检索结果-内蒙古大学图书馆

2014 52nd Annual Allerton Conference on Communication, control, and Computing, Allerton 2014

作者： Sandberg, Henrik Delvenne, Jean-Charles Newton, Nigel J. Mitter, Sanjoy K. Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden ICTEAM and CORE Université Catholique de Louvain Louvain-la-Neuve Belgium School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Laboratory for Information and Decision Systems MIT CambridgeMA United States

ISBN: (纸本)9781479980093

In this paper, we investigate fundamental limits for physical implementations of the Kalman-Bucy filter for state estimation of a class of linear port-Hamiltonian systems. In particular, for the studied class of systems we show the Kalman-Bucy filter itself is a port-Hamiltonian systems and by invoking the second law of thermodynamics, we can characterize the external power supply needed to generate an optimal state estimate. We also show how the required external power supply can be decreased by allowing the filter to perturb the measured system to a larger extent. Hence, it is possible to decrease the so-called back action of the filter by spending more energy. We illustrate our results using passive electric circuits. © 2014 IEEE.

关键词： State estimation

来源：评论

学校读者我要写书评

暂无评论

Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

引用

Journal of control and decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

来源：评论

学校读者我要写书评

暂无评论

Methods for Evaluating Medical Tests and Biomarkers

引用

Diagnostic and Prognostic Research 2017年第1期1卷 1-34页

作者： Gowri Gopalakrishna Miranda Langendam Patrick Bossuyt Mariska Leeflang Rob Scholten Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Marie Westwood Jos Kleinen Richard Riley Gary Collins Hans Reitsma Karel Moons Antonia Zapf Katharina Kramer Annika Hoyer Oliver Kuss J. Ensor R. D. Riley J. J. Deeks E. C. Martin Gerta Rücker Martin Schumacher Susanne Steinhauser Joie Ensor Kym Snell Brian Willis Jon Deeks Thomas Debray Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A. Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Sabine Van Huffel Jan Verbakel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O’Sullivan Rafael Perera Brian Nicholson Hannah L. Bromley Tracy E. Roberts Adele Francis Denniis Petrie G. Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G. Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Peter Selby Doug Altman William Rosenberg Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Johannes Reitsma Anne Rutjes Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Bavo De Cock Daan Nieboer Ewout W. Steyerberg Micael J. Pencina Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Zoe Plummer Barnaby Reeves Chris Rogers Andrew Mumford Kurtis Lee Veerle Verheyden Gianni D. Angelini Gavin J. Murphy Jeremy Huddy Melody Ni George Hanna Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands Department of Clinical Epidemiology and Biostatistics Academic Medical Center University of Amsterdam Amsterdam Netherlands Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK EPPI-Centre Department of Social Science University College London London UK Division of Health and Social Care Research King’s College London London UK College of Computer and Information Science Northeastern University Boston USA University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK Institute of Applied Health Research University of Birmingham Birmingham UK School of Social and Community Medicine University of Bristol Bristol UK Kleijnen Systematic Reviews Ltd York UK Research Institute for Primary Care and Health Sciences Keele University Keele UK Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Cochrane Netherlands University Medical Center Utrecht Utrecht The Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands Department of Medical Statistics University Medical Center Göttingen Göttingen Germany Institute for Biometry and Epidemiology German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf Germany Manchester Pharmacy School University of Manchester Manchester UK Institute for Medical Biometry and Statistics Faculty of Medicine and Medical Center – University of Freiburg Stefan-Meier-Str. 26 79104 Freiburg Germany

来源：评论

学校读者我要写书评

暂无评论

On Robust Iterative Learning control against Iteration-Varying Uncertain Plant Parameters

On Robust Iterative Learning Control against Iteration-Varyi...

引用

American control Conference

作者： Deyuan Meng Kevin L. Moore Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 P. R. China Department of Electrical Engineering and Computer Science Colorado School of Mines Golden CO 80401 USA

ISBN: (纸本)9781479932757

This paper considers the robust convergence problem of iterative learning control (ILC) for discrete-time systems in the presence of iteration-varying uncertain plant parameters. If the uncertain parameters all converge along the iteration axis, then the perfect tracking property of ILC can be achieved under certain conditions. Otherwise, the tracking objective of ILC can be achieved within a bound if some of the uncertain parameters are bounded, rather than convergent, along the iteration axis.

关键词： plant parameters Plant uncertain iterative methods Converge time system Uncertainty device parameter

来源：评论

学校读者我要写书评

暂无评论

Maximum work extraction and implementation costs for nonequilibrium Maxwell's demons

引用

Physical Review E 2014年第4期90卷 042119-042119页

作者： Henrik Sandberg Jean-Charles Delvenne Nigel J. Newton Sanjoy K. Mitter Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden ICTEAM and CORE Université catholique de Louvain Louvain-la-Neuve Belgium School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Laboratory for Information and Decision Systems MIT Cambridge Massachusetts USA

We determine the maximum amount of work extractable in finite time by a demon performing continuous measurements on a quadratic Hamiltonian system subjected to thermal fluctuations, in terms of the information extracted from the system. The maximum work demon is found to apply a high-gain continuous feedback involving a Kalman-Bucy estimate of the system state and operates in nonequilibrium. A simple and concrete electrical implementation of the feedback protocol is proposed, which allows for analytic expressions of the flows of energy, entropy, and information inside the demon. This let us show that any implementation of the demon must necessarily include an external power source, which we prove both from classical thermodynamics arguments and from a version of Landauer's memory erasure argument extended to nonequilibrium linear systems.

关键词： MAXWELL'S demon NONEQUILIBRIUM thermodynamics FLUCTUATIONS (Physics) FEEDBACK control systems ENTROPY

来源：评论

学校读者我要写书评

暂无评论

Identification of Wiener systems with Process Noise is a Nonlinear Errors-in-Variables Problem

Identification of Wiener Systems with Process Noise is a Non...

引用

IEEE Annual Conference on decision and control

作者： Bo Wahlberg James Welsh Lennart Ljung Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology SE-100 44 Stockholm Sweden School of Electrical Engineering and Computer Science The University of Newcastle Callaghan NSW 2308 Australia Division of Automatic Control Linkoping University E-581 83 Linkoping Sweden

ISBN: (纸本)9781467360890

This paper considers the identification of stochastic Wiener dynamic systems, that is linear dynamic systems with process noise, where the measurable output signal is a nonlinear function of the output from the linear system corrupted with additive measurement noise. It is shown how stochastic Wiener system identification can be viewed as a particular non-linear model errors-in-variables problem, for which there exists a large literature. We compare the maximum likelihood method with prediction error minimization methods based on the conditional mean predictor for Wiener systems. Related methods have previously been studied in the framework of identification of non-linear error-in-variables models. We extend these results by taking the input signal to the Wiener system into consideration. For example, the input will affect the variance of the prediction errors. Hence, a prediction error method with a variance weighting is derived to obtain more reliable parameter estimates. An advantage with the prediction error method is that for certain special cases we can avoid numerical integration. We also discuss how the unscented transform can be used to obtain an approximate predictor for the prediction error method. The numerical evaluation of these methods is performed on a simple first order FIR system with a cubic nonlinearity, for which some illustrative analytic properties are derived.

关键词： Noise Stochastic processes Maximum likelihood estimation Transforms Noise measurement Numerical models Standards

来源：评论

学校读者我要写书评

暂无评论

Scaling and correlation of human movements in cyberspace and physical space

引用

Physical Review E 2014年第5期90卷 050802(R)-050802(R)页

作者： Zhi-Dan Zhao Zi-Gang Huang Liang Huang Huan Liu Ying-Cheng Lai Web Sciences Center University of Electronic Science and Technology of China Chengdu 610054 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA Institute of Computational Physics and Complex Systems and Key Laboratory for Magnetism and Magnetic Materials of MOE Lanzhou University Lanzhou Gansu 730000 China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe Arizona 85287 USA Department of Physics Arizona State University Tempe Arizona 85287 USA

Understanding the dynamics of human movements is key to issues of significant current interest such as behavioral prediction, recommendation, and control of epidemic spreading. We collect and analyze big data sets of human movements in both cyberspace (through browsing of websites) and physical space (through mobile towers) and find a superlinear scaling relation between the mean frequency of visit 〈f〉 and its fluctuation σ:σ∼〈f〉β with β≈1.2. The probability distribution of the visiting frequency is found to be a stretched exponential function. We develop a model incorporating two essential ingredients, preferential return and exploration, and show that these are necessary for generating the scaling relation extracted from real data. A striking finding is that human movements in cyberspace and physical space are strongly correlated, indicating a distinctive behavioral identifying characteristic and implying that the behaviors in one space can be used to predict those in the other.

关键词： CYBERSPACE CORRELATION (Statistics) HUMAN mechanics BEHAVIORAL research PREDICTION models EPIDEMIOLOGY -- Mathematical models

来源：评论

学校读者我要写书评

暂无评论

Thermodynamic costs in implementing Kalman-Bucy filters

Thermodynamic costs in implementing Kalman-Bucy filters

引用

Annual Allerton Conference on Communication, control, and Computing

作者： Henrik Sandberg Jean-Charles Delvenne Nigel J. Newton Sanjoy K. Mitter Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden ICTEAM and CORE Université catholique de Louvain Louvain-la-Neuve Belgium School of Computer Science and Electronic Engineering University of Essex Colchester UK MIT Laboratory for Information and Decision Systems Cambridge Massachusetts USA

关键词： Heating Temperature measurement Barium Thermodynamics Leakage currents Signal to noise ratio Power supplies

来源：评论

学校读者我要写书评

暂无评论

Cooperative Bicircular Target Tracking Using Multiple Unmanned Aerial Vehicles

Cooperative Bicircular Target Tracking Using Multiple Unmann...

引用

IEEE Annual Conference on decision and control

作者： Yueqian Liang Yingmin Jia Junping Du Fumitoshi Matsuno Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China Department of Mechanical Engineering and Science Kyoto University Kyoto 606-8501 Japan

ISBN: (纸本)9781467360890

This paper investigates the problem of tracking a moving target using multiple fixed-wing unmanned aerial vehicles (UAVs) under a new bicircular formation. This new formation for cooperative standoff target tracking is first developed by maximizing the amount of Fisher information. Guidance vector fields are designed, and based on them, a cooperation approach is proposed to adapt the unknown target velocity and achieve the cooperative bicircular tracking. Speed and heading rate are firstly controlled to track the guidance vector fields separately for each UAV, then the speed is further adjusted to maintain the desired angular separation between the UAVs. Simulation experiments are given to verify the effectiveness of the proposed approach.

关键词： bicircular Target tracking vehicle

来源：评论

学校读者我要写书评

暂无评论

Output feedback tracking control for spacecraft relative translation subject to input constraints and partial loss of control effectiveness

Output feedback tracking control for spacecraft relative tra...

引用

American control Conference

作者： Lin Zhao Yingmin Jia Junping Du Jun Zhang Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronic and Information Engineering Beihang University (BUAA) Beijing 100191 China

ISBN: (纸本)9781479932757

In this paper, an adaptive output feedback tracking control scheme is proposed for spacecraft formation flying (SFF) in the presence of external disturbances, uncertain system parameters, input constraints and partial loss of control effectiveness. The proposed controller incorporates a pseudo-velocity filter to account for the unmeasured relative velocity, and the neural network (NN) technique is implemented to approximate the desired nonlinear function and bounded external disturbances. In order to guarantee that the output of the NN used in the controller is bounded by the corresponding bound of the approximated nonlinear function, a switch function is employed to generate a switching between the adaptive NN control and the robust controller. Moreover, a fault tolerant part is included in the controller to compensate the partial loss of actuator effectiveness fault. It is shown that the derived controller not only guarantees the tracking error in the closed-loop system to be uniformly ultimately bounded (UUB) but also ensures the control input can rigorously enforce actuator magnitude constraints. Simulation results are provided to demonstrate the effectiveness of the proposed method.

关键词： SFF UUB NN

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：