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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.

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

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

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

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

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

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

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

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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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

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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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

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

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

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

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.

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

Abstract not available

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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

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

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

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

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

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

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

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

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

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

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

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

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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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

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

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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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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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

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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Reports on CS Society day which will take place on October 19, 2022.

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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