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Control Systems, IEEE

Issue 3 • Date June 2009

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Displaying Results 1 - 23 of 23
  • IEEE Control Systems Magazine - Front cover

    Publication Year: 2009 , Page(s): c1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2009 , Page(s): 2 - 2, 4
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    Freely Available from IEEE
  • Symmetric serpents [From the Editor]

    Publication Year: 2009 , Page(s): 6 - 7
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    Freely Available from IEEE
  • What if [About this Issue]

    Publication Year: 2009 , Page(s): 8 - 10
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  • Impact, outreach, connections [President's Message]

    Publication Year: 2009 , Page(s): 12, 14 - 14, 111
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    Freely Available from IEEE
  • Call for papers on 2010 American Control Conference

    Publication Year: 2009 , Page(s): 13
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  • 25 years ago

    Publication Year: 2009 , Page(s): 15
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  • Feedback

    Publication Year: 2009 , Page(s): 16
    Cited by:  Papers (1)
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  • Controlled parking [Ask the Experts]

    Publication Year: 2009 , Page(s): 17 - 21, 132
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1777 KB) |  | HTML iconHTML  

    In this issue of IEEE Control Systems Magazine, we invite Pantelis Isaiah of Queen's University to respond to a query on the system known as the nonholonomic integrator. View full abstract»

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  • Technical Committee on CACSD [Technical Committee Activities]

    Publication Year: 2009 , Page(s): 22 - 23, 111
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  • People in control [including New IEEE Fellow and Meet the New CSM Associate Editors]

    Publication Year: 2009 , Page(s): 24 - 33
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2625 KB) |  | HTML iconHTML  

    In this issue of IEEE Control Systems Magazine (CSM), we speak with Robert Stengel, a professor in the School of Mechanical and Aerospace Engineering at Princeton University, and Martha (Gallivan) Grover, an assistant professor in the School of Chemical and Biomolecular Engineering at Georgia Tech. We also announce the CSS members elected to the grade of IEEE Fellow for 2009 and introduce the new CSM associate editors. View full abstract»

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  • Ensemble Kalman filter

    Publication Year: 2009 , Page(s): 34 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1143 KB) |  | HTML iconHTML  

    Meteorological models are used to predict the weather, study atmospheric processes, and provide input to decision makers on the consequences of increased greenhouse gas emissions to the Earth's climate. Predictions of future atmospheric states are accomplished as an initial value or marching problem, where the initial atmospheric state is specified and the variables are advanced in time using numerical techniques. The challenge of data assimilation in meteorology is to estimate, based on a set of limited observations of varying types, the complete three-dimensional atmospheric state at a given time to provide an initial value for a meteorological model. View full abstract»

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  • Data assimilation for wildland fires

    Publication Year: 2009 , Page(s): 47 - 65
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2084 KB) |  | HTML iconHTML  

    Two wildland fire models and methods for assimilating data in those models are presented. The EnKF is implemented ina distributed-memory high-performance computing environment. Data assimilation methods are developed combining EnKF with Tikhonov regularization to avoid nonphysical states and with the ideas of registration and morphing from image processing to allow large position corrections. The data assimilation methods can track the data even in the presence of large corrections, while avoiding divergence. The methods can assimilate gridded data, but the assimilation of station data and steering of data acquisition is left to future developments. A semi-empirical fire spread model is implemented by the level-set method and coupled with the WRF model. View full abstract»

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  • Ensemble Kalman filters for large geophysical applications

    Publication Year: 2009 , Page(s): 66 - 82
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    At the same time that the Kalman filter (KF) was being developed, the United States produced its first operationally useful numerical weather prediction in 1958 using a single-layer barotropic model. Over the next 40 years, incredible increases in computing power have allowed numerical weather prediction (NWP) models to become far larger and more comprehensive so that modern models have tens of millions of state variables. Throughout this period, operational NWP models always taxed the capabilities of the largest computer systems available. View full abstract»

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  • The ensemble Kalman filter for combined state and parameter estimation

    Publication Year: 2009 , Page(s): 83 - 104
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1246 KB)  

    This article provides a fundamental theoretical basis for understanding EnKF and serves as a useful text for future users. Data assimilation and parameter-estimation problems are explained, and the concept of joint parameter and state estimation, which can be solved using ensemble methods, is presented. KF and EKF are briefly discussed before introducing and deriving EnKF. Similarities and differences between KF and EnKF are pointed out. The benefits of using EnKF with high-dimensional and highly nonlinear dynamical models are illustrated by examples. EnKF and EnKS are also derived from Bayes theorem, using a probabilistic approach. The derivation is based on the assumption that measurement errors are independent in time and the model represents a Markov process, which allows for Bayes theorem to be written in a recursive form, where measurements are processed sequentially in time. The practical implementation of the analysis scheme isdiscussed, and it is shown that it can be computed efficiently in the space spanned by the ensemble realizations. The square root scheme is discussed as an alternative method that avoids the perturbation of measurements. However, the square root scheme has other pitfalls, and it is recommended to use the symmetric square root with or without a random rotation. The random rotation introduces a stochastic component to the update, and the quality of the scheme may then not improve compared to the original stochastic EnKF scheme with perturbed measurements. View full abstract»

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  • Optimal Control of Wind Energy Systems: Towards a Global Approach (Munteanu, I. et al.; 2008) [Bookshelf]

    Publication Year: 2009 , Page(s): 105 - 108
    Cited by:  Papers (1)
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  • Introduction to Discrete Event Systems, Second Edition (Cassandras, C.G. et al.; 2008) [Bookshelf]

    Publication Year: 2009 , Page(s): 108 - 110
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  • Conference reports [including A workshop in honor of A.V. Balakrishnan and MED'08]

    Publication Year: 2009 , Page(s): 112 - 118
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  • CDC/CCC 2009--A Shanghai Journey [CDC Preview]

    Publication Year: 2009 , Page(s): 119 - 130
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  • Conference calendar (2009-2010)

    Publication Year: 2009 , Page(s): 131 - 132
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  • Advertisement: Proceedings of the IEEE

    Publication Year: 2009 , Page(s): 133
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  • IEEE Control Systems Society

    Publication Year: 2009 , Page(s): 134
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  • Clear leadership [Random Inputs]

    Publication Year: 2009 , Page(s): 136
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Aims & Scope

IEEE Control Systems Magazine is the largest circulation technical periodical worldwide devoted to all aspects of control systems.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Jonathan P. How
jhow@mit.edu