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The city of Mumbai charms every visitor. In particular, its warmth and ethos have remained unchanged over the years. The crowds in the suburban trains and the average person on the street continue to exude this warmth, cutting across social boundaries. Tucked away in the northeast corner of this sprawling metropolis is a still sylvan paradise, where birds chirp, cows moo, monkeys chatter, and the leopard

Presents information on the above named conference.

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What is the first column that you read when opening the latest issue of your favorite magazine? If you do not jump to the “People in Control” column, you are an outlier. Most people tell me that it is the first (if not the only) column they read. I, myself, enjoy reading those interviews. They remind me of the diversity of conversations during a conference banquet, when we routinely speak around the

The theme of this month’s issue of IEEE Control Systems is “Everyone in Control, Everywhere.” The magazine presents two features and one control education article. The first feature is an example-driven tutorial introduction to quantum control. It is the product of a three-year multidisciplinary collaboration between a team of control engineers and a team of quantum scientists: Marco M. Nicotra, Jieqiu

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Many things can be scaled up. Not saying that it is easy, but it is possible to get a bigger lab, more funding, or a larger research group. However, the one thing that never scales is time. No matter what we do, a day never goes beyond 24 hours, which means that how we spend our time is the ultimate statement about what matters to us. As my professional career has included increasingly complex and

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Autonomous snake robot locomotion in rough terrain depends on the robot’s ability to rise from a horizontal position to a vertical, for its ability to climb obstacles. At first sight, lifting N body segments seems to require O ( N 2 )dynamic torque. However, in this article we describe a practical algorithm that requires only O (1) dynamic torque. The algorithm is applicable to a wide range of snake

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Reports on news of interest to CSS members.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Reports on the activities of the CS Technical Committee on Aerospace Control.

Reports on the activities of the CS Technical Committee on Intelligent Control.

In this issue of IEEE Control Systems , we speak with Daniel Y. (Danny) Abramovitch, who works as a system architect at Agilent Technologies in the Mass Spectrometry Division, and Shinkyu Park, who is the assistant professor of electrical and computer engineering and the principal investigator of the Distributed Systems and Autonomy Group at the King Abdullah University of Science and Technology (KAUST)

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Presents an interview conducted with Shinkyu Park.

The laws of quantum mechanics capture the behavior of physical systems at the smallest observable spatiotemporal scales. By pushing systems to the very edge of physical limits, quantum technology has the potential to revolutionize the state of the art in a variety of domains, including metrology [1] , [2] , [3] , [4] , communication [5] , [6] , [7] , and computing [8] , [9] , [10] . As the field continues

The word teleoperation (which, in general, means “working at a distance”) is typically used in robotics when a human operator commands a remote agent. A teleoperated robot is often employed to substitute human beings in conditions where the latter cannot operate. A possible reason is the need to be in contact with dangerous substances, and indeed, the first robot teleoperation system was designed in

This article offers insights on teaching practical improvements to control methods to engineers already practicing in the field. Virtually all these engineers have taken an introductory control class (perhaps many years ago) and have some experience with circuitry, programming, and actual control implementations. We argue that the lessons that have the most impact on these engineers are those that

In this issue of IEEE Control Systems , we speak with Tom Chaffey at the University of Cambridge and Pieter Van Goor at the Australian National University (ANU).

Q. How would you pitch your Ph.D. dissertation in one paragraph?

Tom: My dissertation lies at the intersection of nonlinear systems theory, electrical network theory, and monotone operator theory. All three of these areas have common roots in the study of passive networks in the 1920s and 1930s. However, they have grown apart, and each developed its own tools and problems. My dissertation takes a fresh look at nonlinear input/output systems theory. I generalize

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This book provides a self-contained introduction to control and estimator design for distributed parameter systems. Although there exist previous texts on this topic, there are several features that make this text very timely and unique. The text provides a mathematically rigorous framework for control and estimator design for distributed parameter systems. To make the material accessible to a wide

Presents summaries of recent books published in the field of control systems.

Presents the CSS calendar of upcoming events and meetings.

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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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.

Presents information on the 2022 American Control Conference.

Presents the front cover for this issue of the publication.

Presents the table of contents for this issue of the publication.

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

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”

“An exciting journey has started for me!” In this way, I began my inaugural “President’s Message” column [1] .

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.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents information on the CSS Technical Committee on Control Education.

Presents information on the Technical Committee on Discrete Event System.

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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

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Q. How did your education and early career lead to your initial and continuing interest in the control field?

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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

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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

Presents the recipients of CSS TC Outstanding Student Paper Prize awards.

Presents information on the IEEE Conference on Control Technology and Applications.

Presents information on the 2022 International Conference on Unmanned Aircraft Systems.

Presents the CSS calendar of events and meetings.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Reports on the Minutes of the Control Systems Society Board of Governors Meeting June 7, 2022.