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Transition in editorship Automatica (IF 5.944) Pub Date : 2022-06-23 Andrew R. Teel
Abstract not available
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Functional observers with linear error dynamics for discrete-time nonlinear systems Automatica (IF 5.944) Pub Date : 2022-06-22 Sunjeev Venkateswaran, Benjamin A. Wilhite, Costas Kravaris
This work deals with the problem of designing observers for the estimation of a single function of the states for discrete-time nonlinear systems. Necessary and sufficient conditions for the existence of lower order functional observers with linear dynamics and linear output map are derived. The results provide a direct generalization to Luenberger’s linear theory of functional observers.
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Stability of shuffled switched linear systems: A joint spectral radius approach Automatica (IF 5.944) Pub Date : 2022-06-21 Georges Aazan, Antoine Girard, Luca Greco, Paolo Mason
A switching signal for a switched system is said to be shuffled if all modes of the system are activated infinitely often. In this paper, we develop tools to analyze stability properties of discrete-time switched linear systems driven by shuffled switching signals. We introduce the new notion of shuffled joint spectral radius (SJSR), which intuitively measures how much the state of the system contracts
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Hierarchical MPC for coupled subsystems using adjustable tubes Automatica (IF 5.944) Pub Date : 2022-06-20 Vignesh Raghuraman, Justin P. Koeln
A hierarchical Model Predictive Control (MPC) formulation is presented for coupled discrete-time linear systems with state and input constraints. Compared to a centralized approach, a two-level hierarchical controller, with one controller in the upper-level and one controller per subsystem in the lower-level, can significantly reduce the computational cost associated with MPC. Hierarchical coordination
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Victim crisis communication strategy on digital media: A study of the COVID-19 pandemic Decis. Support Syst. (IF 5.795) Pub Date : 2022-06-19 Suparna Dhar, Indranil Bose
The COVID-19 pandemic and the lockdown bore a devastating impact on organizations across the globe. In this crisis, organizations belonged to the victim cluster, with a low crisis responsibility. Nevertheless, organizations needed to strategize their crisis responses and communicate with stakeholders to reduce the threat to reputational capital and manage stakeholder reactions in the pandemic. In this
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Approximate Wasserstein attraction flows for dynamic mass transport over networks Automatica (IF 5.944) Pub Date : 2022-06-18 Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez
This paper presents a Wasserstein attraction approach for solving dynamic mass transport problems over networks. In the transport problem over networks, we start with a distribution over the set of nodes that needs to be “transported” to a target distribution accounting for the network topology. We exploit the specific structure of the problem, characterized by the computation of implicit gradient
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Robust invariance-based explicit reference control for constrained linear systems Automatica (IF 5.944) Pub Date : 2022-06-17 Peng Wang, Weidong Zhang, Xiaobing Zhang, Shuzhi Sam Ge
In the linear system control, the traditional invariance-based explicit reference governor (ERG) method provides a solution to the control of a class of systems subject to state and control constraints, while there still exist some limitations on the form of system models, which hinders its wider application. In response to this situation, we propose the invariance-based explicit reference control
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Generalized invariance principles for discrete-time stochastic dynamical systems Automatica (IF 5.944) Pub Date : 2022-06-17 Shijie Zhou, Wei Lin, Jianhong Wu
This article, based on the typical discrete-time semi-martingale convergence theorem, establishes several generalized versions of invariance principle for describing the long-term dynamical behaviors of discrete-time stochastic dynamical systems. These principles are suitable for investigating the dynamics in autonomous or non-autonomous systems and their applicability is demonstrated via using several
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Stabilization of rank-deficient continuous-time switched affine systems Automatica (IF 5.944) Pub Date : 2022-06-17 Lucas N. Egidio, Grace S. Deaecto, Raphaël M. Jungers
This paper treats the global stabilization problem of continuous-time switched affine systems that have rank-deficient convex combinations of their dynamic matrices. For these systems, the already known set of attainable equilibrium points has higher dimensionality than in the full-rank case due to the existence of what we define as singular equilibrium points. Our main goal is to design a state-dependent
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Higher-Order Sliding Mode design with Bounded Integral Control generation Automatica (IF 5.944) Pub Date : 2022-06-18 Antonio Russo, Gian Paolo Incremona, Alberto Cavallo
In this paper uncertain continuous-time nonlinear systems affine in the control variable and with saturated actuators are considered. The finite-time regulation problem of the system output to zero is then solved by proposing a generic Higher-Order Sliding Mode (HOSM) controller equipped with a novel mechanism to encounter the saturation limits, thus extending previous results on saturated control
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Table of Contents IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14
Presents the table of contents for this issue of the publication.
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IEEE Industrial Electronics Society IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Guest Editorial: Security and Privacy Issues in Industry 4.0 Applications IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14 Mamoun Alazab, Thippa Reddy Gadekallu, Chunhua Su
The papers in this special section focus on security and privacy issues associated with Industry 4.0. In 2011, a group of delegates from business and academia, and politics in German initially proposed the conception of the Fourth Industrial Revolution (or Industry 4.0), which aims to improve the competitive ability in the manufacturing industry of their country. Along with the emergence of the Industry
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TechRxiv: Share Your Preprint Research with the World! IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14
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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IEEE Industrial Electronics Society IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Information for Authors IEEE Trans. Ind. Inform. (IF 10.215) Pub Date : 2022-06-14
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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Nonzero-sum impulse games with regime switching Automatica (IF 5.944) Pub Date : 2022-06-15 Siyu Lv, Jie Xiong
This paper is concerned with a two-player nonzero-sum stochastic differential game, where both players use impulse controls and the state process evolves as a regime switching diffusion. Based on a system of variational inequalities, a verification theorem as a sufficient criterion for optimality is established. Nash equilibrium strategies for the two players, indicating when and how it is optimal
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Guaranteed region of attraction estimation for time-delayed fuzzy systems via static output-feedback control Automatica (IF 5.944) Pub Date : 2022-06-15 Márcia L.C. Peixoto, Pedro Henrique Silva Coutinho, Márcio J. Lacerda, Reinaldo Martinez Palhares
This paper introduces a novel delay-dependent condition for static output-feedback control of Takagi–Sugeno (TS) fuzzy models with time-varying delay. A distinctive feature of the proposed approach is the local asymptotic stability of the origin of the closed-loop system, unlike other works in the literature. This ensures the correct operation of the closed-loop system since its trajectories remain
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Adaptive regularised kernel-based identification method for large-scale systems with unknown order Automatica (IF 5.944) Pub Date : 2022-06-14 Jing Chen, Yawen Mao, Min Gan, Feng Ding
Regularised kernel-based identification methods are widely used for large-scale systems with the aim of reducing high parameter estimation variances. Classical diagonal and diagonal/correlated methods are used to design a kernel matrix under the assumption that the parameter series decays exponentially. This assumption has the following limitations: (1) if the system has an unknown time-delay/order
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An exploration of the relation between the visual attributes of thumbnails and the view-through of videos: The case of branded video content Decis. Support Syst. (IF 5.795) Pub Date : 2022-06-13 Byungwan Koh, Fuquan Cui
While browsing through an online video platform, potential viewers decide which videos to click and watch based on the information and impression they obtain from thumbnails. Therefore, a thumbnail needs to be able to tell potential viewers what the video is about (i.e., be informative), and at the same time, a thumbnail needs to grab potential viewers' attention (i.e., be visually appealing). Drawing
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New convergence conditions for the super twisting algorithm with uncertain input gain Automatica (IF 5.944) Pub Date : 2022-06-11 Alessandro Colotti, Dominique Monnet, Alexandre Goldsztejn, Franck Plestan
A simple proof is proposed that extends Seeber and Horn’s recent sufficient conditions (Seeber and Horn, 2017) for the finite time convergence of the super twisting algorithm to perturbations in the input gain. The new convergence conditions are compared to state of the art conditions, and turn out to accept sensibly smaller gains.
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Coordinated inauthentic behavior and information spreading on twitter Decis. Support Syst. (IF 5.795) Pub Date : 2022-06-09 Matteo Cinelli, Stefano Cresci, Walter Quattrociocchi, Maurizio Tesconi, Paola Zola
We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying the efficacy of their tactics in deceiving feed algorithms to maximize information outreach. In particular, we investigate the behavior of coordinated accounts within a large set of retweet-based information cascades identifying
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Table of Contents IEEE Trans. Ind. Electron. (IF 8.236) Pub Date : 2022-06-07
Presents the table of contents for this issue of the publication.
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IEEE Industrial Electronics Society IEEE Trans. Ind. Electron. (IF 8.236) Pub Date : 2022-06-07
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Industrial Electronics Society IEEE Trans. Ind. Electron. (IF 8.236) Pub Date : 2022-06-07
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Information for Authors IEEE Trans. Ind. Electron. (IF 8.236) Pub Date : 2022-06-07
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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Comments on “Design of Controllers with Arbitrary Convergence Time” [Automatica 112 (2020) 108710] Automatica (IF 5.944) Pub Date : 2022-06-09 Yury Orlov, Miroslav Krstic
The notion of “free-will arbitrary time stability” of (Pal et al. (2020), Definition 4) is ill-posed. The proof of the paper’s central result (Pal et al. (2020), Theorem 2) is incomplete. The arbitrary time stability concept (Pal et al. (2020), Definition 3) is implied by prescribed-time stabilization by Song et al. (2017). Additionally, Theorem 1 by Pal et al. (2020) is obtained by a logarithmic change
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Contextual drivers of employees' phishing susceptibility: Insights from a field study Decis. Support Syst. (IF 5.795) Pub Date : 2022-06-07 Muriel Frank, Lennart Jaeger, Lukas Manuel Ranft
Phishing attacks rate as one of the most prevalent security threats to contemporary organizations. Hence, managers strive heavily to apply security measures that keep their employees safe from these risks, thereby relying on insights from security researchers who have predominantly focused on recipient characteristics, message attributes, and interventions to explicate the phishing susceptibility of
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Joint state and parameter estimation based on constrained zonotopes Automatica (IF 5.944) Pub Date : 2022-06-08 Brenner Santana Rego, Diego Locatelli, Davide Martino Raimondo, Guilherme Vianna Raffo
This note presents a new method for set-based joint state and parameter estimation of discrete-time systems using constrained zonotopes. This is done by extending previous set-based state estimation methods to include parameter identification in a unified framework. Unlike in interval-based methods, the existing dependencies between states and model parameters are maintained from one time step to the
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Robust implementable regulator design of linear systems with non-vanishing measurements Automatica (IF 5.944) Pub Date : 2022-06-08 Lei Wang, Lorenzo Marconi, Christopher M. Kellett
Robust implementable output regulator design approaches are studied for linear continuous-time systems with periodically sampled measurements, consisting of both the regulation errors and extra measurements that are generally non-vanishing in steady state. A digital regulator is first developed via the conventional emulation-based approach, rendering the regulation errors asymptotically bounded with
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Stability-constrained Markov Decision Processes using MPC Automatica (IF 5.944) Pub Date : 2022-06-08 Mario Zanon, Sébastien Gros, Michele Palladino
In this paper, we consider solving discounted Markov Decision Processes (MDPs) under the constraint that the resulting policy is stabilizing. In practice MDPs are solved based on some form of policy approximation. We will leverage recent results proposing to use Model Predictive Control (MPC) as a structured approximator in the context of Reinforcement Learning, which makes it possible to introduce
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Triangular angle rigidity for distributed localization in 2D Automatica (IF 5.944) Pub Date : 2022-06-07 Liangming Chen
Recent advances in sensing technology have enabled sensor nodes to measure interior angles with respect to their neighboring nodes. However, it is unknown which combination of angle measurements is necessary to make a sensor network localizable, and it is also unidentified if there is a distributed localization algorithm whose required communication only consists of the sensor nodes’ measured angles
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Minimal positive realizations: A survey Automatica (IF 5.944) Pub Date : 2022-06-06 Luca Benvenuti
This survey aims to present a comprehensive and systematic synthesis of concepts and results on the minimal state space realization problem for positive, linear, time-invariant systems. Positive systems are systems for which the state and the output are always non-negative for any non-negative initial state and input. They are used to model phenomena in which the variables must take non-negative values
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Event-based state estimation under constrained bit rate: An encoding–decoding approach Automatica (IF 5.944) Pub Date : 2022-06-03 Licheng Wang, Zidong Wang, Di Zhao, Guoliang Wei
This paper is concerned with the state estimation problem for a class of linear continuous-time systems under bit rate constraints. The data transmission between the sensors and the estimator is implemented through a digital communication network with limited bandwidth. By resorting to the singular value decomposition technique, an event-based encoding strategy is developed to encode the measurement
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Set-membership filtering for two-dimensional systems with dynamic event-triggered mechanism Automatica (IF 5.944) Pub Date : 2022-06-03 Kaiqun Zhu, Zidong Wang, Hongli Dong, Guoliang Wei
In this paper, the set-membership filtering problem is investigated for a class of two-dimensional (2-D) shift-varying systems described by the general Fornasini-Marchesini second model with a dynamic event-triggered mechanism. The sensors are communicated with the remote filter through a communication network of limited bandwidth. In order to improve the efficiency of utilizing the network resources
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A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems Automatica (IF 5.944) Pub Date : 2022-06-03 Fanbiao Li, Zheng Wu, Chunhua Yang, Yang Shi, Tingwen Huang, Weihua Gui
In this paper, a novel asynchronous sliding mode-based learning control is proposed for a class of discrete-time semi-Markov jump systems, in which the probability density function of sojourn-time is dependent on two consecutive modes. The asynchronous switching characteristic is employed for the nonsynchronization between the controller and the jump modes. Based on the discrete-time semi-Markov kernel
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Interval estimation for asynchronously switched positive systems Automatica (IF 5.944) Pub Date : 2022-06-03 Zhongyang Fei, Weizhong Chen, Xudong Zhao
In this paper, the zonotopic state estimation is investigated for discrete-time switched positive systems under asynchronism. Taking into account the particularity of the positive system, new radius definition called positive generator matrix based radius (PGR) is proposed to characterize the size of state zonotope and derive linear programming conditions. First, using the merging signal technique
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Output-feedback control for stochastic impulsive systems under Round-Robin protocol Automatica (IF 5.944) Pub Date : 2022-06-03 Meng Yao, Guoliang Wei, Derui Ding, Wangyan Li
In this paper, an output-feedback control problem is investigated for a class of stochastic systems with impulsive effects under Round-Robin (RR) protocol. First, the RR protocol is exploited for the purpose of effectively relieving communication burden, and energy-saving. The considered stochastic impulsive system is essentially as a switched impulsive one due mainly to the switching feature of the
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Influencing crowding at locations with decision support systems: The role of information timeliness and location recommendations Decis. Support Syst. (IF 5.795) Pub Date : 2022-06-02 Charlotte Wendt, Dominick Werner, Martin Adam, Alexander Benlian
To target crowding at locations, decision support systems (DSS) increasingly feature crowding information (CI) to indicate how much of a location's available capacity is occupied. Yet, little is known about how and why the timeliness of such CI (e.g., “updated just now”) influences users' selections of differently crowded locations and the effectiveness of location recommendations. Addressing this
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Table of Contents IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
Presents the table of contents for this issue of the publication.
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IEEE Control Systems Society IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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TechRxiv: Share Your Preprint Research with the World! IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
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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Expand Your Network, Get Rewarded IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
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Introducing IEEE Collabratec IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
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IEEE Control Systems Society IEEE Trans. Autom. Control (IF 5.792) Pub Date : 2022-05-27
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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On Nash–Stackelberg–Nash games under decision-dependent uncertainties: Model and equilibrium Automatica (IF 5.944) Pub Date : 2022-05-28 Yunfan Zhang, Feng Liu, Zhaojian Wang, Yue Chen, Shuanglei Feng, Qiuwei Wu, Yunhe Hou
In this paper, we discuss a class of two-stage hierarchical games with multiple leaders and followers, which is called Nash–Stackelberg–Nash (N–S–N) games. Particularly, we consider N–S–N games under decision-dependent uncertainties (DDUs). DDUs refer to the uncertainties that are affected by the strategies of decision-makers and have been rarely addressed in game equilibrium analysis. In this paper
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Consensus-based distributed filtering with fusion step analysis Automatica (IF 5.944) Pub Date : 2022-05-28 Jiachen Qian, Peihu Duan, Zhisheng Duan, Guanrong Chen, Ling Shi
For consensus on measurement-based distributed filtering (CMDF), through infinite consensus fusion operations during each sampling interval, each node in the sensor network can achieve optimal filtering performance with centralized filtering. However, due to the limited communication resources in physical systems, the number of fusion steps cannot be infinite. To deal with this issue, the present paper
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Spot instance similarity and substitution effect in cloud spot market Decis. Support Syst. (IF 5.795) Pub Date : 2022-05-30 Vivek Kumar Singh, Shivendu Shivendu, Kaushik Dutta
Customers in cloud spot market choose from a set of computing resources (spot instances) some of which are same along one or more of the dimensions of hardware configuration, hardware capacity, software, and location (or zones within the same region). While prior research in IS has shown that cloud market consumers do not substitute identical spot instances across distant locations or regions due to
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Front Cover IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24
Presents the front cover for this issue of the publication.
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Table of Contents IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24
Presents the table of contents for this issue of the publication.
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50 Years of Dissipativity, Part II [From the Editor] IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24 Rodolphe Sepulchre
How often have you read the second part of a two-part article? For 25 years, I contended myself to read and reread Part I of the dissipativity article, thinking that this was the noble part of the theory [1]. Part II was just there to connect the new concept to the existing body of linear-quadratic theory [2]. My interest was in the nonlinear theory and in the future anyway, so why bother?
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50 Years of Dissipativity Theory, Part II [About This Issue] IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24 Rodolphe Sepulchre
This IEEE Control Systems issue continues to celebrate the 50th anniversary of dissipativity theory with a focus on the second part of Jan Willems’ 1972 article. “From the Editor” elaborates on the significance of that article, in particular the relevance of the relaxation property for today’s control theory. Guest editor Arjan van der Schaft has assembled seven articles for this special issue: “Dissipativity
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Looking Ahead: The CSS Strategic Plan [President’s Message] IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24 Thomas Parisini
Welcome to my second column of 2022, following the exciting “President’s Message” invited column by Bob Shorten (Imperial College, United Kingdom) that dealt with the potential impact of control theory on society, highlighting the challenges in front of us (see the April 2022 issue of IEEE Control Systems).
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IEEE Control Systems Society Day: October 19, 2022 [CSS News] IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24
Reports on CS Society day which will take place on October 19, 2022.
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[25 Years Ago] IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24
In this issue, “25 Years Ago” revisits the article “Modeling Piezoelectric Stack Actuators for Control of Micromanipulation,” by Michael Goldfarb and Nikola Celanovic, IEEE Control Systems Magazine, vol. 17, no. 3, pp. 69Ð79, 1997. Below is an excerpt from the article.
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Masthead IEEE Control Syst. (IF 11.119) Pub Date : 2022-05-24
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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