A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> AERONAUTICS AND SPACE FLIGHT (Total: 124 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Journal Cover
Control Systems
Journal Prestige (SJR): 0.983
Citation Impact (citeScore): 2
Number of Followers: 252  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1066-033X
Published by IEEE Homepage  [228 journals]
  • From Inertial Measurements to Smart Cities

    • Free pre-print version: Loading...

      Abstract: Presents the front cover for this issue of the publication.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE Collabratec

    • Free pre-print version: Loading...

      Abstract: Advertisement.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE Foundation

    • Free pre-print version: Loading...

      Pages: 3 - 3
      Abstract: Advertisement.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • The Art of the State [From the Editor]

    • Free pre-print version: Loading...

      Authors: Rodolphe Sepulchre;
      Pages: 4 - 4
      Abstract: Deep learning is impacting control in many ways, if not all deep. For more than a decade, it has reinstated the state-space concept as a central and unifying modeling principle. The magical equation x+ = f(x, u) currently dominates IEEE Control Systems Society publications, workshops, and conferences. Once confined to specialized circles of dynamic programming and nonlinear control, it has emerged over the last decade as a lingua franca shared by roboticists, optimizers, machine learners, computer programmers, and pretty much every scientist upgraded with the adjective “computational.” It celebrates the definite victory of computation over modeling in science and engineering.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • From Inertial Measurements to Smart Cities [About This Issue]

    • Free pre-print version: Loading...

      Authors: Rodolphe Sepulchre;
      Pages: 5 - 7
      Abstract: Autonomous vehicle technology is advancing rapidly. Their control capabilities often rely on high-bandwidth state estimation incorporating inertial measurements. High-performance state estimation incorporates inertial measurement error models through the process of state augmentation to enable on-the-fly instrument calibration. The feature article “Inertial Measurement Unit Error Modeling Tutorial” by Jay A. Farrell, Felipe O. Silva, Farzana Rahman, and J. Wendel provides a tutorial describing the process and issues related to developing a state-space model for the stochastic errors affecting an inertial measurement unit (IMU). The starting point is the instrument error characterization data sheet provided by the manufacturer, which is typically either an Allan standard deviation graph or the Allan variance parameters extracted from that graph. The desired output of the modeling process is a linear, discrete-time, state-space model of the IMU stochastic errors suitable for augmentation to the INS error-state model. Along with this tutorial, supplementary open source software is available. One software component does the following: 1) Given a continuous-time state-space IMU stochastic error model selected by the designer to match the Allan variance, the software computes a discrete-time equivalent state-space model. 2) Given that discrete-time model, it produces a stochastic error sequence suitable for Allan variance computations. 3) Given a sequence of stochastic errors, it computes and plots the Allan variance. Given Allan variance data and a specific continuous-time state-space IMU stochastic error model structure, a second software component implements an optimization-based approach for selecting the model parameters to match the Allan variance data.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Looking Back at a Two-Year Journey [President’s Message]

    • Free pre-print version: Loading...

      Authors: Thomas Parisini;
      Pages: 8 - 11
      Abstract: “An exciting journey has started for me!” In this way, I began my inaugural “President’s Message” column [1].
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Controlling Buildings: A New Frontier in Feedback [25 Years Ago]

    • Free pre-print version: Loading...

      Authors: B.F. Spencer;Michael K. Sain;
      Pages: 12 - 13
      Abstract: In this issue, “25 Years Ago” revisits the article “Controlling Buildings: A New Frontier in Feedback,” by B.F. Spencer Jr. and Michael K. Sain in IEEE Control Systems Magazine, vol. 17, no. 6, pp. 19–35, 1997. Below is an excerpt from the article.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Technical Committee on Control Education [Technical Activities]

    • Free pre-print version: Loading...

      Pages: 14 - 16
      Abstract: Presents information on the CSS Technical Committee on Control Education.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Technical Committee on Discrete Event Systems [Technical Activities]

    • Free pre-print version: Loading...

      Pages: 17 - 19
      Abstract: Presents information on the Technical Committee on Discrete Event System.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE MGA Join

    • Free pre-print version: Loading...

      Pages: 19 - 19
      Abstract: Advertisement.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • A Research and Educational Robotic Testbed for Real-Time Control of
           Emerging Mobility Systems: From Theory to Scaled Experiments [Applications
           of Control]

    • Free pre-print version: Loading...

      Authors: Behdad Chalaki;Logan E. Beaver;A.M. Ishtiaque Mahbub;Heeseung Bang;Andreas A. Malikopoulos;
      Pages: 20 - 34
      Abstract: Emerging mobility systems, for example, connected and automated vehicles (CAVs), shared mobility, and electric vehicles, mark a paradigm shift in which myriad opportunities exist for users to better monitor transportation network conditions and make optimal operating decisions to improve safety and reduce pollution, energy consumption, and travel delays [1]. As we move to increasingly complex emerging mobility systems, new control approaches are needed to optimize the impact on the system behavior [2] of the interplay among vehicles in different traffic scenarios [3]. Several studies have shown the benefits of CAVs to reduce energy consumption and alleviate traffic congestion in specific transportation scenarios [4], [5], [6]. There have been two major approaches to utilizing CAVs, namely, platooning and traffic smoothing. A platoon is defined as a group of closely coupled vehicles traveling to reduce their aerodynamic drag, especially at high cruising speeds. The concept of platoon formation is a popular system-level approach to address traffic congestion, which gained momentum in the 1980s and 1990s [7], [8], [9]. There has been a rich body of research exploring various methods of forming and/or utilizing platoons to improve transportation efficiency [10], [11], [12], [13], [14], [15], [16], [17-, [18], [19], [20], [21], [22].
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Introduction to People in Control [People in Control]

    • Free pre-print version: Loading...

      Authors: Rodolphe Sepulchre;
      Pages: 35 - 35
      Abstract: In this issue of IEEE Control Systems, we speak with Hong Chen, a distinguished professor and the dean of the College of Electronic and Information Engineering at Tongji University in Shanghai, and Randy Freeman, a professor of electrical and computer engineering at Northwestern University in Evanston, IL, USA.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Hong Chen [People in Control]

    • Free pre-print version: Loading...

      Authors: Hong Chen;
      Pages: 35 - 38
      Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Randy A. Freeman [People in Control]

    • Free pre-print version: Loading...

      Authors: Randy A. Freeman;
      Pages: 38 - 39
      Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE What + If

    • Free pre-print version: Loading...

      Pages: 39 - 39
      Abstract: Advertisement.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Inertial Measurement Unit Error Modeling Tutorial: Inertial Navigation
           System State Estimation with Real-Time Sensor Calibration

    • Free pre-print version: Loading...

      Authors: Jay A. Farrell;Felipe O. Silva;Farzana Rahman;Jan Wendel;
      Pages: 40 - 66
      Abstract: Autonomous vehicle technology is rapidly advancing (see “Summary”). A key enabling factor is the advancing capabilities and declining cost of computing and sensing systems that enable sensor fusion for awareness of the vehicle’s state and surroundings (see “Nontechnical Article Summary”). For control purposes, the vehicle’s state must be estimated accurately, reliably, at a sufficiently high sample rate, and with a sufficiently high bandwidth. For systems with a high bandwidth, these requirements are often achieved by an aided inertial navigation system (INS) (see “Aided Inertial Navigation System History”) [1], [2], [3], [4], [5], [6]. An INS integrates data from an inertial measurement unit (IMU) through a kinematic model at the high sampling rate of the IMU to compute the state estimate. An aided INS corrects this state estimate using data from aiding sensors [for example, vision, lidar, radar, and global navigation satellite systems (GNSS)]. State estimation by sensor fusion may be accomplished using a variety of methods: Kalman filter (KF) [7], [8], [9], [10], [11], extended KF (EKF) [12], [13], [14], [15], unscented KF (UKF) [16], [17]- [18], particle filter (PF) [19], [20], [21], and maximum a posteriori (MAP) optimization [22], [23], [24], [25], [26], [27].
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE Access

    • Free pre-print version: Loading...

      Pages: 67 - 67
      Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Interpolatory Methods for Model Reduction [Bookshelf]

    • Free pre-print version: Loading...

      Authors: Boris Kramer;Karen E. Willcox;A.C. Antoulas;C.A. Beattie;S. Gugercin;
      Pages: 68 - 69
      Abstract: The surge of interest in machine learning has led to increased emphasis on the value of accurate, efficient surrogate models. The book is divided into four parts. Part 1, consisting of Chapters 1 and 2, introduces the reader to the basic ideas underlying general model reduction and provides the relevant system-theoretic background needed for the remainder of the book. Part 2, consisting of Chapters 3–5, covers core concepts of interpolatory model reduction where wellknown results and state-of-the-art implementations are presented in a compact yet deep way. Part 3, consisting of Chapters 6 and 7, provides the first comprehensive textbook exposition of recent developments in parameter dependent dynamical systems and nonlinear interpolatory model reduction. This book is a timely reminder that before we reach for black-box approximation functions (which often require prohibitive amounts of data to train), there is a long and rigorous history (and many recent advances) in system-theoretic model-reduction methods that can deliver structured, reduced-order models in a broad range of scientific and engineering settings.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE CSS TC Outstanding Student Paper Prize Winners [Awards]

    • Free pre-print version: Loading...

      Pages: 70 - 70
      Abstract: Presents the recipients of CSS TC Outstanding Student Paper Prize awards.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • 2022 American Control Conference [Conference Reports]

    • Free pre-print version: Loading...

      Pages: 71 - 77
      Abstract: Presents information on the 2022 American Control Conference.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE Conference on Control Technology and Applications [Conference
           Reports]

    • Free pre-print version: Loading...

      Pages: 77 - 79
      Abstract: Presents information on the IEEE Conference on Control Technology and Applications.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • 2022 International Conference on Unmanned Aircraft Systems [Conference
           Reports]

    • Free pre-print version: Loading...

      Pages: 80 - 82
      Abstract: Presents information on the 2022 International Conference on Unmanned Aircraft Systems.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • [Conference Calendar]

    • Free pre-print version: Loading...

      Pages: 83 - 83
      Abstract: Presents the CSS calendar of events and meetings.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE Proceedings

    • Free pre-print version: Loading...

      Pages: 83 - 83
      Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • Minutes of the Control Systems Society Board of Governors Meeting June 7,
           2022, Zoom in lieu of New Orleans, USA [CSS Business]

    • Free pre-print version: Loading...

      Pages: 84 - 90
      Abstract: Reports on the Minutes of the Control Systems Society Board of Governors Meeting June 7, 2022.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE CSS Board of Governors Meeting June 7, 2022 [CSS Business]

    • Free pre-print version: Loading...

      Pages: 90 - 96
      Abstract: Reports on the IEEE CSS Board of Governors Meeting June 7, 2022.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
  • IEEE App

    • Free pre-print version: Loading...

      Pages: 96 - 96
      Abstract: Advertisement.
      PubDate: Dec. 2022
      Issue No: Vol. 42, No. 6 (2022)
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.197.198.214
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-