Issue 1 • Feb. 2019

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  • Front Cover

    Publication Year: 2019, Page(s): C1
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  • Table of Contents

    Publication Year: 2019, Page(s):1 - 2
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  • Climate, Culture, and Consequences of Sexual Harassment in Science and Engineering [From the Editor]

    Publication Year: 2019, Page(s):3 - 5
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  • Off-Road Vehicle Control [About This Issue]

    Publication Year: 2019, Page(s):6 - 9
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  • A Clayton's Regime Change [President's Message]

    Publication Year: 2019, Page(s):10 - 11
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  • IEEE Control Systems Society Awards [CSS News]

    Publication Year: 2019, Page(s): 12
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  • [25 Years Ago]

    Publication Year: 2019, Page(s):13 - 14
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  • IEEE Control Systems Magazine Board

    Publication Year: 2019, Page(s): 13
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  • Technical Committee on Systems Biology [Technical Activities]

    Publication Year: 2019, Page(s):15 - 24
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  • Behrouz Touri [People in Control]

    Publication Year: 2019, Page(s):16 - 18
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  • Masayoshi (Tomi) Tomizuka [People in Control]

    Publication Year: 2019, Page(s):18 - 21
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  • Igor Gilitschenski [People in Control]

    Publication Year: 2019, Page(s):21 - 22
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  • Paul J. Goulart [People in Control]

    Publication Year: 2019, Page(s):23 - 24
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  • AutoRally: An Open Platform for Aggressive Autonomous Driving

    Publication Year: 2019, Page(s):26 - 55
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (6952 KB) | HTML iconHTML

    The technical challenge of creating a self-driving vehicle remains an open problem despite significant advancements from universities, car manufacturers, and technology companies. Full autonomy, known as level 5 (see "Society of Automotive Engineers Levels of Driving Automation"), is defined as full-time performance by an automated driving system of all aspects of the dynamic driving task under al... View full abstract»

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  • Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects

    Publication Year: 2019, Page(s):56 - 67
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1649 KB) | HTML iconHTML

    Markov chain Monte Carlo (MCMC) is a versatile sampling approach that is useful in a wide range of estimation and simulation applications. Fundamentally, MCMC is a powerful general means of generating random samples from probability distributions from which it is otherwise difficult to draw samples. The MCMC method is named for its reliance on the construction of a Markovian (dependent) sequence o... View full abstract»

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  • Freeway Traffic Modelling and Control [Bookshelf]

    Publication Year: 2019, Page(s):68 - 71
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  • Book Announcements [Bookshelf]

    Publication Year: 2019, Page(s):71 - 86
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  • The 37th Chinese Control Conference (CCC2018) [Conference Reports]

    Publication Year: 2019, Page(s):73 - 78
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  • 15th International Workshop on Variable Structure Systems and Sliding Mode Control (VSS18) [Conference Reports]

    Publication Year: 2019, Page(s):79 - 80
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  • CPAR Control Theory and Automation Symposium [Conference Reports]

    Publication Year: 2019, Page(s):80 - 81
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  • Attend the 2019 American Control Conference in Philadelphia [ACC Preview]

    Publication Year: 2019, Page(s):82 - 86
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  • [Conference Calendar]

    Publication Year: 2019, Page(s): 87
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  • IEEE Control Systems Society

    Publication Year: 2019, Page(s): 88
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  • Random Walk [Random Inputs]

    Publication Year: 2019, Page(s): C3
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Aims & Scope

As the official means of communication for the IEEE Control Systems Society, the IEEE Control Systems Magazine publishes interesting, useful, and informative material on all aspects of control system technology for the benefit of control educators, practitioners, and researchers.

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Meet Our Editors

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