 Subjects -> AERONAUTICS AND SPACE FLIGHT (Total: 124 journals)
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- August 2023 Conference Calendar [Conference Calendar]
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Pages: C3 - C3
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Spiking Intelligence [From the Editor]
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Authors:
Rodolphe Sepulchre;
Pages: 3 - 4
Abstract: A definition of intelligence is not in sight. But, for sure, designing intelligent machines is a key driver of technology, and understanding the working of animal intelligence is a key driver of science. There is no doubt that feedback and uncertainty play a role in the problem, providing splendid control questions for high-techs and scientists alike.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Erratum
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Authors:
Anders Rantzer;
Pages: 4 - 4
Abstract: In [1], an error was introduced to the signature of the introductory paragraph. It should have read as below:
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Micro-Macro Control [About This Issue]
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Authors:
Rodolphe Sepulchre;
Pages: 5 - 8
Abstract: This issue of IEEE Control Systems includes two feature articles and one “Applications of Control” column article. The first feature article, “Microscale 2D Particle Position Control,” is authored by Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, and Anne Plochowietz [A1]. The authors have designed a method for moving small objects immersed in a dielectric fluid, using an array of thousands of electrodes. For a single micro-object, they use a “micromodel,” a nonlinear differential equation that describes the position of a single particle, to generate the control policy. This policy can be derived either analytically or numerically and has been tested experimentally. Additionally, the authors have developed a method using numerical optimization to find the appropriate control inputs (electrode potentials) for assembling particles into a specific density. This method uses a “macromodel,” a partial differential equation that describes the overall density of particles when the electrode potentials are varied. The method involves formulating a stochastic control problem that minimizes the difference between the desired and actual particle densities and using spectral methods to convert this problem into a form that can be solved numerically. The control methods will enable building a device that is similar to a printer and can arrange very small objects (from less than a micrometer to hundreds of micrometers) into specific patterns. The second feature article, “The REEF Autonomous Vehicles Laboratory,” is authored by Michael Anderson, J. Humberto Ramos, Benjamin Dickinson, Kevin Brink, and Prashant Ganesh [A2]. It results from a joint initiative from the Air Force Research Laboratory and the University of Florida’s Research and Engineering Education Facility (REEF) Autonomous Vehicles Laboratory (AVL) to mentor and assist researchers seeking to initiate research in aerial robotics. The article provides a tutorial on how to begin flight research using the REEF Quadrotor and its REEF Estimator (a vision-enabled flight control enhancement). A GitHub repository provides resources and mentors collaborators in assembling hardware and software platforms for flight-based research. This includes a catalog of Robotic Operating System code, assembly and installation guides, and even shopping lists. Finally, a recent collaborative project between the AVL and undergraduate researchers is described. In short, this article aims to help aspiring researchers launch their aerial robotics experiments.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- TechRxiv: Share Your Preprint Research With the World!
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Pages: 8 - 8
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Controls in the Age of AI' [President’s Message]
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Authors:
Magnus Egerstedt;
Pages: 9 - 11
Abstract: Quite a bit has already been written about how we, as a controls community, should respond to the rise of artificial intelligence (AI), and how our tools, models, and techniques should best be deployed alongside data-driven, machine learning (ML) algorithms. From safe learning and formal verification of neural networks to data-driven control, we have seen several interesting and fruitful new venues for controls research emerge. But this is surely just the tip of the iceberg as for what the future has in store for us as a technical community. In this “President’s Message” column, I am taking help from Prof. Pramod Khargonekar.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- IEEE Feedback
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Pages: 11 - 11
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- A Call for Interest to Organize Future CDC and CCTA Conferences [CSS News]
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Authors:
Carolyn Beck;Alessandro Giua;
Pages: 12 - 12
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- [25 Years Ago]
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Pages: 13 - 16
Abstract: Many control objectives can be expressed in terms of a criterion function. Generally, explicit solutions to such optimization problems require full knowledge of the plant and disturbances, and complete freedom in the complexity of the controller. In practice, the plant and the disturbances are seldom known, and it is often desirable to achieve the best possible performance with a controller of prescribed complexity. For example, one may want to tune the parameters of a PID controller in order to extract the best possible performance from such simple controller.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- CSS Quarter-Century Members [Member Activities]
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Authors:
Kristin Y. Pettersen;
Pages: 17 - 32
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- IEEE Control Systems Society Technical Committee on Distributed Parameter
Systems [Technical Activities]-
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Authors:
Lassi Paunonen;Thomas Meurer;
Pages: 18 - 20
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Networks and Communication Systems [Technical Activities]
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Authors:
Giacomo Como;Paolo Frasca;Francesca Parise;Chiara Ravazzi;Ketan Savla;Serdar Yüksel;
Pages: 20 - 22
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
WED, 19 JUL 2023 10:01:19 -04
Issue No: Vol. 43, No. 4 (2023)
- IEEE App
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Pages: 22 - 22
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Controlling a Pandemic: An Account of Successfully Applying Control Theory
to the Covid-19 Pandemic in Denmark [Applications of Control]-
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Authors:
Jakob Stoustrup;
Pages: 23 - 32
Abstract: The contagious coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in Wuhan, China, in December 2019. Observing the virus spreading rapidly to other countries across the world led the World Health Organization (WHO) to declare a Public Health Emergency of International Concern on 30 January 2020 and to characterize the outbreak as a pandemic on 11 March 2020. In response to the WHO warnings, each country across the world had to design a strategy to mitigate the consequences of the pandemic (see “Summary”).
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- [People in Control]
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Authors:
Rodolphe Sepulchre;
Pages: 33 - 33
Abstract: In this issue of IEEE Control Systems, we speak with Cristina Stoica, a professor at CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S), Université Paris-Saclay, France; Samer S. Saab, a professor of electrical engineering at Lebanese American University (LAU), Byblos, Lebanon; and Umit Ozguner, emeritus professor at The Ohio State University (OSU), Columbus, OH, USA.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Cristina Stoica [People in Control]
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Authors:
Cristina Stoica;
Pages: 34 - 36
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Samer S. Saab [People in Control]
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Authors:
Samer S. Saab;
Pages: 37 - 39
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Umit Ozguner [People in Control]
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Authors:
Umit Ozguner;
Pages: 39 - 41
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Microscale 2D Particle Position Control: The Individual and Group Cases
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Authors:
Ion Matei;Maksym Zhenirovskyy;Johan de Kleer;Anne Plochowietz;
Pages: 42 - 62
Abstract: Our goal is to design and build a printer-like system for assembling microparticles into engineered patterns. The assembly into desired patterns is based on feedback control that tracks the particles and makes corrections to the particle positions until the desired pattern is achieved (see “Summary” and “Xerography for Microelectronics” for more details on xerography and assembly for microelectronics). Micro- and nanoscale particle manipulation have received a lot of research interest due to their significant applications in microfabrication, biology, and medicine. Recent work [1], [2] demonstrated a microchiplet control policy based on a one-step model predictive control approach. The 1D model used a capacitance-based model. However, the actuation mechanism was based on spiral-shaped electrodes that limited the number of simultaneously actuated electrodes. The electrodes were connected through wires to a digital-to-analog converter power source that set the electrodes’ electric potentials. The spiral-based experimental setup allows for radial chiplet motion only and does not scale to a large number of electrodes (for example, in the thousands) due to wiring challenges [3]. Colloids are at the core of many microassembly technologies. They are solution-processed assemblies of nano- to micrometer-sized particles, whose collective properties are controlled by both particle properties and the superstructure symmetry, orientation, phase, and dimension [4] (see “Colloids” for more details on colloids). A control scheme for individual and ensemble control of colloids is described in [5]. In particular, it is shown how inhomogeneous electric fields are used to manipulate individual and ensembles of colloidal particles (1 to 3 μm in diameter) in water and sodium hydroxide solutions through electrophoresis (EP) and electro-osmosis. The authors use various electrode-to-particle-size ratios, various media in which the particles are immersed, and different mathematical models. The authors of [6] demonstrated location-selective particle deposition, where EP forces are the primary drive for particle (2-μm polystyrene beads) manipulation. The control scheme was based on building large energy wells close to the desired location of the nanoparticles. Several works [7], [8] describing the control of a stochastic colloidal assembly process that drives the system to the desired high-crystallinity state are based on a Markov decision process optimal control policy. The dynamical model is based on actuator-parametrized Langevin equations. In this work, individual particles are not directly manipulated. Hence, it is unclear how this approach can be used when assembling nonperiodic patterns, such as electrical circuits and heterogenous systems. Moreover, the particle size (≈3 μm in diameter) is so small that the particles pose little disturbance to the electric field, which is completely shaped by actuation potentials. In addition, the long timescale for achieving the desired state would make the goal of high throughput challenging to achieve. Other self-assembly control approaches [9], [10], [11] would require significant modification to be used with our experimental system. Electro-osmosis solutions are a popular choice for particle control [12], [13]. In such cases, both EP forces and fluid motions of electro-osmotic flows are used to drive particles. An electrode structure similar to our setup in [1] and [2] was used to study the effect of dielectrophoresis (DEP) on cancer cells [14]. Unlike our setup, particles are assumed to be small enough that the electric field is not disturbed by their presence. Accurate control of cells, quantum dots, and nanowires based on electro-osmosis is used in [15] and [16]. The authors use linear models of the electrode potentials, and the particles’ effect on the electric field distribution is negligible. In the work presented here, linearity in the electrode potentials does not hold since the driving forces are primarily DEP. In addition, the electric field is affected by the chiplet position. In [17], the authors describe a DEP-based feedback control scheme for microsphere manipulation. The authors control the phase shifts of the voltages applied a micro-electrode array combined with closed-loop cascade control strategy based on real-time numerical optimization. For comparison, we formally derive a control policy for which we present empirical results that may be optimal as well. More importantly, our policy is easy to implement in real time since it does not require solving an optimization problem. This article describes a 2D control policy where the actuation is done using an electrostatic actuator array. The phototransistor-based array is optically addressed to enable dynamic control of the electrostatic energy potential and manipulate the position of small objects. The approach is sufficient to be applied to both nano- (
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- The REEF Autonomous Vehicles Laboratory: A collaboration hub expediting
flight capabilities for the U.S. Department of defense and academic
research-
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Authors:
Michael Anderson;J. Humberto Ramos;Benjamin Dickinson;Kevin Brink;Prashant Ganesh;
Pages: 63 - 83
Abstract: The field of aerial robotics is growing rapidly, along with the promise of assisting human operators with tasks that are hazardous, inaccessible, or time consuming [1]. Military and law enforcement organizations are especially interested in such capabilities due to the naturally hazardous nature of their missions, driving them to become early supporters and adopters. A particularly challenging mission is the exploration of unknown indoor environments, which has potential applications in exploring and clearing enemy compounds, searching for accident survivors, or responding to active shooters. Multirotor vehicles have been proposed and occasionally used in such scenarios, but as capabilities increase, so does the complexity of the hardware and software. As a result, researchers interested in exploring this field, as well as those in myriad other fields that depend on aerial experimentation, face an increasingly high barrier to entry: establishing flight capabilities. This article is intended to help aspiring researchers get their aerial robotics experiments off the ground.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- [Ph.D.s In Control]
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Authors:
Rodolphe Sepulchre;
Pages: 84 - 84
Abstract: In this issue of IEEE Control Systems, we speak with Ingvar Ziemann, a postdoctoral researcher at the University of Pennsylvania, and Anthony Thompson, a senior researcher at the John’s Hopkins Applied Physics Laboratory.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Ingvar Ziemann [Ph.D.s In Control]
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Authors:
Ingvar Ziemann;
Pages: 84 - 87
Abstract: Q. How would you pitch your Ph.D. dissertation in one paragraph'
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Anthony Thompson [Ph.D.s In Control]
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Authors:
Anthony Thompson;
Pages: 87 - 89
Abstract: Q. How would you pitch your Ph.D. dissertation in one paragraph'
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- IEEE Foundation
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Pages: 89 - 89
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Control, Automation, and Robotics at the Graduate School of Engineering,
Federal University of Rio de Janeiro [Institutes in Control]-
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Authors:
Amit Bhaya;
Pages: 90 - 93
Abstract: Rio de Janeiro is a well-known, international tourist destination, and its charms also attract visitors to its many reputed institutions, among them the Federal University of Rio de Janeiro (UFRJ). Within the university, the Graduate School of Engineering (COPPE), which is composed of 13 graduate engineering programs, is a center of excellence in engineering. The Control, Automation, and Robotics (CAR) group in the Electrical Engineering Department is one of Brazil’s top research groups, and it is making its presence felt internationally, being slated to host the 2025 IEEE Conference on Decision and Control, with group faculty member João Carlos Basilio as general cochair. In this issue of IEEE Control Systems, we speak with Amit Bhaya (currently the group head of CAR, COPPE, UFRJ) and a few others in their group.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- IEEE Proceedings
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Pages: 93 - 93
Abstract: null
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Practical Methods for Optimal Control Using Nonlinear Programming, Third
Edition [Bookshelf]-
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Authors:
John T. Betts;Anil V. Rao;
Pages: 94 - 95
Abstract: The review of this book is centered on the sheer quality and profoundness with which the author guides a reader through all aspects of solving a general optimal control problem numerically. The basis of the methodology is nonlinear programming, and when traversing the book, the author makes it abundantly clear that optimal control is inextricably bound to nonlinear programming. In fact, the connection the author makes between nonlinear programming and optimal control is so strong that it makes it wholly evident that optimal control problems cannot be solved numerically unless sophisticated techniques for discretizing differential equations (the optimal control side of things) are developed along with equally sophisticated approaches for solving large, sparse, nonlinear programming problems. The book is divided into ten main chapters. It starts off with an introduction to nonlinear programming and then describes large sparse nonlinear programming. From that point, it provides an overview of optimal control. Once that has been accomplished, methods that combine optimal control with nonlinear programming are described, and the main approach of direct collocation is developed in detail. After developing direct collocation methods, the remainder of the book focuses on a large number of amazing examples and ends with a chapter that contains numerous test problems.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- 2024 American Control Conference in Toronto, Canada [Conference Reports]
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Authors:
Martha Grover;
Pages: 96 - 99
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- 61st IEEE Conference on Decision and Control [Conference Reports]
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Authors:
Maria Elena Valcher;Andrea Serrani;Christophe Prieur;
Pages: 100 - 105
Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
- Prof. Roger Ware Brockett, 1938–2023 [Obituary]
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Authors:
Louise Brewster Brockett;
Pages: 106 - 108
Abstract: Recounts the career and contributions of Roger Ware Brockett.
PubDate:
TUE, 18 JUL 2023 10:02:10 -04
Issue No: Vol. 43, No. 4 (2023)
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