Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 4 - 5 Abstract: This issue of IEEE Control Systems celebrates the 50th anniversary of the two-part dissipativity article published by Jan Willems in 1972. To celebrate this event, Arjan van der Schaft assembled six articles for this issue, celebrating the first part of the dissipativity article [1]. Another set of seven articles will be published in the next issue to celebrate more, particularly, the second part of the dissipativity article [2]. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 6 - 9 Abstract: This IEEE Control Systems issue celebrates the 50th anniversary of the publication of Jan Willems’ two publications laying the foundations of dissipativity theory. “From the Editor” elaborates on reasons to celebrate this event. Guest Editor Arjan van der Schaft has assembled six articles for the first special issue devoted to the first part of the dissipativity article: “Compositional Design and Verification of Large-Scale Systems Using Dissipativity Theory,” by Murat Arcak; “Passivity-Based Control of Robots,” by Nikhil Chopra, Masayuki Fujita, Romeo Ortega, and Mark Spong; “Dissipativity and Optimal Control,” by Lars Grüne; “Dissipativity, Stability, and Connections: Progress in Complexity,” by David Hill and Tao Liu; “Interconnection and Approximation in Networks of Dissipative Systems,” by Siep Weiland and Xiaodong Cheng; and “Passivity Measures in Cyberphysical Systems Design,” by Hasan Zakeri and Panos Antsaklis. The six articles are described in the introductory article by Guest Editor Arjan van der Schaft. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 10 - 12 Abstract: I love control theory. I love the concept of feedback. I love applications of control theory. I especially love the mathematical rigor that comes with formulating problems in control, the odor of a freshly cooked proof, and the thrill of implementing an algorithm in a real device or application. I have also been extremely fortunate to have spent my entire life putting into practice the things that I love and working on problems that involve the use of feedback to design engineering systems. Many of these could be described as conventional problems of the type found in a traditional control course, such as my work on automotive control systems [1]. Some of the problems that I have worked on are less conventional, such as my work on the transmission control protocol [2], the COVID-19 pandemic [3], or the area of smart cities [4]. Despite all of this, my deep affection and love of the discipline, and the great fortune to have worked on a vast portfolio of projects (both theoretical and applied), one question returns to me over and over again: Why do we do what we do' PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 13 - 15 Abstract: Successful industrial applications and favorable comparisons with conventional alternatives have motivated the development of a large number of schemes for neural-network-based control. Each scheme is usually composed of several independent functional features, which makes it difficult to identify precisely what is new in the scheme. Help from available overviews is therefore often inadequate, since they usually discuss only the most important overall schemes. This work breaks the available schemes down to their essential functional features and organizes the latter into a multi-level classification. The classification reveals that similar schemes often get placed in different categories, fundamentally different features often get lumped into a single category, and proposed new schemes are often merely permutations and combinations of the well-established fundamental features. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 13 - 13 Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 16 - 16 Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 17 - 139 Abstract: Presents information on the CSS Technical Committee on Robust and Complex Systems. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Sergiy Koshkin;Vojin Jovanovic;
Pages: 18 - 34 Abstract: The main goal of this article is to design torque controls for a common model of a playground swing: the model of swinging in the sitting position proposed by Case and Swanson [1], with damping added for more realism (see “Summary”). The addition of damping makes the problem much more complex from the analytic standpoint. Modeling human control of playground swings has a venerable history going back at least to the 1960s (see [1] and [2] and references therein). However, aside from the fact that damping and friction are rarely included, all models in the literature (to the best of our knowledge) use the body’s position as the control input. Swinging in the sitting position is described by the angle between the body and the swing’s axis (rods, chains, or cables attaching the seat to the frame). This is a natural simplification, given that human swingers can use their biophysical machinery to generate torques for muscle movements that change and stabilize the requisite body angle. However, much complexity is hidden in these built-in mechanisms. If we want to understand them (or design an electromechanical device that would relieve parents of the chore of swinging their kids), then we cannot rely on biophysics to do the work. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 35 - 36 Abstract: In this issue of IEEE Control Systems, we speak with Travis E. Gibson, an instructor of pathology at Brigham and Women’s Hospital and Harvard Medical School; Andrew Lamperski, an assistant professor of electrical and computer engineering at the University of Minnesota; Rifat Sipahi, a professor at Northeastern University in Boston; and Tansel Yucelen, an associate professor of mechanical engineering at the University of South Florida. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 36 - 38 Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field' PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 39 - 40 Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field' PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 41 - 43 Abstract: Q. How did your education and early career lead to your initial and continuing interest in the control field' PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 43 - 45 Abstract: Q. What are your research interests' PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Arjan van der Schaft;
Pages: 46 - 50 Abstract: The introduction to this article could be very simple; read it yourself! Indeed, the article is clearly written and basically self-contained. After so many years, it still provides stimulating reading, not only from a historical, but also a contemporary research point of view. Thus, the aim of this introduction is to let the article speak for itself, while providing some extra context for its origins and pointers to later developments. This special issue is devoted to Part I of the article, leaving the introduction to Part II to the next special issue (see “The Articles of This Special Issue”). PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Murat Arcak;
Pages: 51 - 62 Abstract: There were several moments in my research when I started exploring new topics and did not expect to use dissipativity tools. Each time, I was wrong: sooner or later, I would encounter a problem for which, in my mind, there was no better approach. Judging from the other articles in this issue and the wealth of problems they address, I believe the impact of dissipativity in control theory is still growing 50 years after Willems’s seminal article [1]. The notion of dissipativity connected the input–output approaches developed in the 1960s (see, for example, [2] for a review) to the state space, with the help of storage functions that are analogous to Lyapunov functions yet applicable to open systems with exogenous inputs. The state-space formalism and proximity to Lyapunov theory enabled dissipativity to play an essential role in subsequent developments in control theory, from input-to-state stability concepts [3], [4] to adaptive and nonlinear control techniques [5]–[7]. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Nikhil Chopra;Masayuki Fujita;Romeo Ortega;Mark W. Spong;
Pages: 63 - 73 Abstract: Passivity-based control (PBC) and the related energy-shaping control have a rich history in robotics going back to the 1980s. The kinematics and dynamics of robot manipulators and Lagrangian systems in general are highly complex, and the realization that they satisfy a passivity property was crucial to the development of rigorous robust and adaptive control laws, beginning in the mid-1980s and continuing to this day (see “Summary”). See “Passivity-Based Control” for the origin of the term “passivity-based control.” PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Lars Grüne;
Pages: 74 - 87 Abstract: This article describes the manifold relationships dissipativity and optimal control, with a focus on recent developments. In the early days of dissipativity theory, the questions “how can optimal control be used to establish dissipativity'” and vice versa, “how can dissipativity can be used to establish (inverse) optimality'” were extensively investigated. Recently, the question “what does dissipativity tell us about the qualitative behavior of optimally controlled systems'” came into focus. This development was triggered by the observation that dissipativity is extremely useful for the understanding of (economic) model predictive control schemes, and opened a new view on the relationship between dissipativity and optimal control. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
David J. Hill;Tao Liu;
Pages: 88 - 106 Abstract: This article reviews the development of dissipativity theory, with application to stability analysis from the seminal 1972 articles by Jan Willems toward both basic generalizations and specific results for classes of complex systems. After a brief historical background for stability analysis, a theory by Hill and Moylan is reviewed, which includes a very general input–output-to-state–space dissipativity connection, a framework for abstract stability results, and aspects not often addressed (that is, nonquadratic supply rates and multiple equilibria). Then, some extensions for testing dissipativity and stability for other forms of complexity in switching, impulsive dynamics, and network systems are presented, including connections to the input-to-state stability approach, with some suggestions for further work. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Siep Weiland;Xiaodong Cheng;
Pages: 107 - 117 Abstract: Half a century ago, and a few years after receiving his Ph.D. degree in electrical engineering at the Massachusetts Institute of Technology, Jan Willems published articles on dissipative dynamical systems [30], [31]. In retrospect, the conceptual thinking and elegant generalization of the basic physical properties behind the notion of dissipation can be viewed as a distinctive stage in the field of systems and control. These articles have sparked an impressive number of scientific and technological contributions in the field of systems theory, mathematical modeling, and control systems synthesis. Especially with the introduction of powerful numerical tools to solve matrix inequalities, the classical theory of dissipative systems has proved a strong, rich, and (above all) elegant conceptual and theoretical framework to solve a plethora of relevant problems in robust control, stabilization, and estimation. It is a pleasure to contribute to a volume on dissipative dynamical systems, 50 years after the publication of these seminal articles. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:
Hasan Zakeri;Panos J. Antsaklis;
Pages: 118 - 130 Abstract: Dissipativity theory is an important energy-based framework for the analysis and design of control systems using an input–output approach. Quadratic supply rate functions in particular have been of great interest since their introduction by Jan Willems. Quadratic supply rate dissipativity exhibits many interesting properties, including a tighter relation to stability. Q-dissipativity and its most prominent special case, passivity, are classical tools. However, their relevance to cyberphysical system (CPS) design stems from the fact that these concepts can be extended to more general hybrid/ switched and networked systems. Dissipative and passive systems exhibit a compositional property for parallel and negative feedback interconnections. Thus, by ensuring that each subsystem is passive, a complex system can be constructed to satisfy specific properties by design and avoid undesirable emergent behaviors. Passivity indices also stem from Q-dissipativity. They are measures of passivity margins and further extend the applicability of passivity-based tools to nonpassive systems as well. The indices have been used in designing secure and stable interconnected systems, hybrid systems, and data-driven analysis and control design. Because of these facts, measures of passivity have been further developed for systems with significant cybercomponents. This short article provides a brief overview of of these new findings in the context of CPSs and presents directions for future work. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 131 - 132 Abstract: By Wassim M. Haddad PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 133 - 134 Abstract: This book covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering. This revision of the previous edition presents a modern theory of stochastic programming, including expanded coverage of sample complexity, risk measures, and distributionally robust optimization. The interchangeability principle for risk measures is now discussed in detail. New material on the formulation and numerical solution of solving periodical multistage stochastic programs is also included. This book is suitable for researchers and graduate students working on the theory and applications of optimization. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 135 - 139 Abstract: Presents the recipients of IEEE Control Systems Society awards in 2021. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 140 - 142 Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 143 - 145 Abstract: Presents information on the 2021 SIAM Conference on Control and Its Applications. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Pages: 146 - 146 Abstract: Presents the CSS calendar of upcoming events and meetings. PubDate:
April 2022
Issue No:Vol. 42, No. 2 (2022)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Hybrid journal (It can contain Open Access articles)
