 Subjects -> ELECTRONICS (Total: 207 journals)
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- [Conference Calendar]
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Abstract: Presents the CS society calendar of upcoming events and meetings.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- TechRxiv: Share Your Preprint Research With the World!
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Pages: 3 - 3
Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Kalman–Yakubovich–Popov: Do We Need a New Proof' [From
the Editor]-
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Authors:
Rodolphe Sepulchre;
Pages: 4 - 4
Abstract: Kalman–Yakubovich–Popov (KYP). The very historical heritage of our field is at war. Do we need a new proof'
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Distributed Games Over Networks [About This Issue]
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Authors:
Rodolphe Sepulchre;
Pages: 5 - 7
Abstract: This issue of IEEE Control Systems includes a special issue on distributed games over networks. Guest Editors Lacra Pavel and Yiguang Hong have assembled four articles for this special issue. The first article, by Tao Li, Guanze Peng, Quanyan Zhu, and Tamer Bas¸ar, provides a systematic treatment of game-theoretic learning methods and their application in network problems, which is key for understanding multiagents.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Advanced Control Systems for Data Storage on Magnetic Tape: A Long-Lasting
Success Story [President’s Message]-
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Pages: 8 - 11
Abstract: It is an honor and a challenge to be asked by Thomas Parisini to write a president’s invited column for IEEE Control Systems. It represents a big responsibility as well, especially as I am going to give an overview of a technology that might be perceived as controversial (mainly because it has been around for many years but continues to have a significant impact on our society).
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- IEEE Control Systems Society Technical Committee Outstanding Student Paper
Prize [CSS News]-
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Pages: 12 - 12
Abstract: Reports on the CS society Technical Committee Outstanding Student Paper Prize.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Generalized Predictive Control for Active Flutter Suppression [25 Years
Ago]-
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Authors:
Pamela Haley;Don Soloway;
First page: 13
Abstract: This article presents experimental results of a transonic wind-tunnel test that demonstrates the use of generalized predictive control for flutter suppression for a subsonic wind-tunnel wing model. The generalized predictive control algorithm is based on the minimization of a suitable cost function over finite costing and control horizons. The cost function minimizes not only the sum of the mean square output of the plant predictions, but also the weighted square rate of change of the control input with its input constraints. An additional term was added to the cost function to compensate for dynamics of the wing model that cause it to be invariant to low input frequencies. This characteristic results in a control surface that drifts within the specified input constraints. The augmentation to the cost function that penalizes this low frequency drift is derived and demonstrated. The initial validation of the controller uses a linear plant predictor model for the computation of the control inputs. Simulation results of the closed-loop system that were used to determine nominal ranges for the tuning parameters are presented. The generalized predictive controller based on the linear predictor model successfully suppressed the flutter for all testable Mach numbers and dynamic pressures in the transonic region in both simulation and wind- tunnel testing. The results confirm that the generalized predictive controller is robust to modeling errors.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Diversity and Inclusion in Control Workshop at the IEEE Conference on
Decision and Control 2021 [Member Activities]-
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Pages: 15 - 18
Abstract: Presents information on the IEEE Conference on Decision and Control 2021.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Technical Committee on Security and Privacy [Technical Activities]
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Pages: 19 - 20
Abstract: Present information on the Technical Committee on Security and Privacy.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Technical Committee on System Identification and Adaptive Control
[Technical Activities]-
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Pages: 20 - 23
Abstract: Presents information on the Technical Committee on System Identification and Adaptive Control.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- [People in Control]
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Authors:
Rodolphe Sepulchre;
Pages: 24 - 24
Abstract: In this issue of IEEE Control Systems, we speak with Necmiye Ozay, associate professor of electrical engineering and computer science at the University of Michigan, Ann Arbor; Giuseppe Notarstefano, professor and director of automation engineering at the Alma Mater Studiorum Università di Bologna; and Sergio Grammatico, an associate professor at the Delft University of Technology.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Giuseppe Notarstefano [People in Control]
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Pages: 25 - 27
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Sergio Grammatico [People in Control]
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Pages: 27 - 29
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Necmiye Ozay [People in Control]
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Pages: 29 - 31
Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field'
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Distributed Games and Nash Equilibrium Seeking in Multiagent Systems Over
Networks: An Introduction to the Special Issue-
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Authors:
Lacra Pavel;Yiguang Hong;
Pages: 32 - 34
Abstract: This special issue provides an introduction to game-theoretic decision making in multiagents over networks—a research area that has exploded in the systems and control community over the past few years. There has been an almost exponentially growing interest in the application of game-theoretic concepts and tools in control, multiagent systems, and networks. This is partly due to their wide application: from smart grids, road traffic control, communication networks, and network congestion control, to social networks and sensor networks.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- The Confluence of Networks, Games, and Learning a Game-Theoretic Framework
for Multiagent Decision Making Over Networks-
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Authors:
Tao Li;Guanze Peng;Quanyan Zhu;Tamer Başar;
Pages: 35 - 67
Abstract: Multiagent decision making over networks has recently attracted an exponentially growing number of researchers from the systems and control community. The area has gained increasing momentum in engineering, social sciences, economics, urban science, and artificial intelligence as it serves as a prevalent framework for studying large and complex systems and has been widely applied to many problems, such as social networks analysis [1], [2], smart grid management [3], [4], wireless and communication networks [5]–[7], cybersecurity [8]–[10], critical infrastructures [11]–[13], and cyberphysical systems [14]–[16].
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Distributed Nash Equilibrium Seeking: Continuous-Time Control-Theoretic
Approaches-
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Authors:
Guoqiang Hu;Yipeng Pang;Chao Sun;Yiguang Hong;
Pages: 68 - 86
Abstract: Game theory, which studies the cooperation and conflict among multiple rational decision makers, called players, can be utilized to analyze a large class of engineering systems (for example, wireless communication networks and smart grids). A game usually consists of three components: the players; the players’ actions; and their objective functions, which the players try to either maximize (in which case the objective function is known as a utility or payoff function) or minimize (in which case the objective function is referred to as a cost or loss function). In general, the players’ objective functions are dependent on other players’ actions, which lead to the coupling between the players’ actions in the decision-making process. This article is concerned with static games, where the order of the players’ decisions is not important (see “Summary”).
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Distributed Generalized Nash Equilibrium Seeking: An Operator-Theoretic
Perspective-
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Authors:
Giuseppe Belgioioso;Peng Yi;Sergio Grammatico;Lacra Pavel;
Pages: 87 - 102
Abstract: Generalized games model interactions between a set of selfish decision makers, called players or agents, where both the objective function and the feasible decision set of each player may depend on strategies of the competitors. Such games arise, for example, when agents compete for a share of some common but limited resources. For instance, consider a set of vehicles sharing the road, set of radio channels competing for bandwidth, or set of companies servicing an economic market. They can each be modeled as players/agents in a game, competing for a portion of available resources, that is, road capacity, total bandwidth, or market share. As resources are limited, player choices are bound together by a coupling-capacity constraint. Essentially, in a generalized game, or one with coupling constraints, the set of available choices an agent has depends on the choices of other agents. Thus, a player cannot simply optimize their own objective function without considering the decisions of the others, even though this objective might not depend on him or her. The relevant equilibrium (namely, the solution concept) for noncooperative decision making with coupling constraints is called a generalized Nash equilibrium (GNE).
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Stochastic Nash Equilibrium Problems: Models, Analysis, and Algorithms
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Authors:
Jinlong Lei;Uday V. Shanbhag;
Pages: 103 - 124
Abstract: Decision making under uncertainty has been studied extensively over the last 70 years, if not earlier. In the field of optimization, models for two-stage, stochastic, linear programming, presented by Dantzig [1] and Beale [2], are often viewed as the basis for the subsequent development of the field of stochastic optimization. This subfield of optimization now encompasses a breadth of models that can accommodate both convexity and nonconvexity, probabilistic constraints, risk-aversion, discreteness, and multistage decision-making (compare [3], [4]). Similarly, stochastic control [5] has proven to be an enormously impactful subarea of control theory. When one extends the decision-making paradigm to multiple self-interested decision makers, then the resulting problem can be viewed as a noncooperative game that is rooted in the groundbreaking text by Von Neumann and Morgenstern [6].
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Model Identification and Data Analysis [Bookshelf]
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Authors:
Sergio Bittanti;Iven Mareels;
Pages: 125 - 126
Abstract: Norbert Wiener, one of the heroes in the field of modeling and data analysis portrayed in the book, once said, “To live effectively, is to live with adequate information.” This book provides insight on how that adequate information may be gathered through data and modeling.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
- Attend the 2023 American Control Conference in San Diego, California
[Conference Reports]-
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Pages: 127 - 128
Abstract: Presents information on the 2023 American Control Conference.
PubDate:
Aug. 2022
Issue No: Vol. 42, No. 4 (2022)
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