Motivated by prior inconclusive findings on the effectiveness of open innovation initiatives in generating business value and the complexity of open innovation, this study draws on the IT-enabled organizational capabilities perspective to propose that the mobilization of Information Technology (IT) resources can positively affect the development of open innovation initiatives and, in turn, improve

We present a linearization procedure of mechanical control systems that preserves the mechanical structure of the system, i.e. the mechanical linearization. We give necessary and sufficient conditions for such linearization in two main (static) cases, namely state–space linearization and feedback linearization. In contrast to the classical cases, such mechanical linearizations can be performed without

This paper is concerned with the observer design problem for a system composed of two Kermack–McKendrick equations considering reinfection. The system is described by two first-order hyperbolic equations that have a time lag in the nonlocal boundary condition. The element of time lag can be expressed by a transport equation. As a result, the system with one delay is equivalently written by a 3 × 3

Platoon formation with connected and automated vehicles (CAVs) in a mixed traffic environment poses significant challenges due to the presence of human-driven vehicles (HDVs) with unknown dynamics and control actions. In this paper, we develop a safety-prioritized receding horizon control framework for creating platoons of HDVs preceded by a CAV Our framework ensures indirect control of the following

This paper is concerned with the moving horizon estimation problem for networked systems over relay channels. The relay channel under consideration is a wireless communication channel with a so-called relay node. Under the effects of relay node, the signal transmission between the plant and estimator is determined by a combination of three communication processes, namely the sensor-to-estimator, the

This paper presents a transfer learning approach which enables fast and efficient adaptation of Recurrent Neural Network (RNN) models of dynamical systems. A nominal RNN model is first identified using available measurements. The system dynamics are then assumed to change, leading to an unacceptable degradation of the nominal model performance on the perturbed system. To cope with the mismatch, the

The infinite-horizon optimal consensus control problem for continuous-time unknown nonlinear multiagent systems (MASs) is solved via an online adaptive reinforcement learning approach. Three different neural network (NN) structures are proposed as part of a novel actor–critic–identifier (ACI) to approximate the Hamilton–Jacobi–Bellman (HJB) equations. The actor and critic NNs approximate the optimal

Guaranteeing prescribed performance is critical to maintaining system efficiency and reliability. The state-of-the-art approaches achieve different performance specifications with different control structures and settings. In this paper, we propose a novel control methodology to uniformly address the prescribed performance problem for uncertain multiple-input multiple-output (MIMO) nonlinear systems

In this paper, we analyse a buck converter network containing arbitrary, up to mild regularity assumptions, loads. Our analysis begins with the primary controller where we propose a novel decentralised Lyapunov function for the interconnection between currents and a bounded integrator. We leverage on this result to study the network as a cascaded interconnection between voltages and bounded currents

Using probabilistic movement primitives (ProMPs) has been shown as an effective way to encode basic robot movements. However, ProMPs are learned based on parametric approaches, which increases the demands for human efforts, and also limits the reproduction accuracy. In this technical communique, we present a novel non-parametric movement primitive, named Gaussian process movement primitive (GP-MP)

In a multi-objective setting, a portfolio manager’s highly consequential decisions can benefit from assessing alternative forecasting models of stock index movement. The present investigation proposes a new approach to identify a set of non-dominated neural network models for further selection by the decision-maker. A new co-evolution approach is proposed to simultaneously select the features and topology

Necessary and sufficient condition for the newly introduced problem to find a strongly F-positive real rational interpolant for a two-sided interpolation problem are given, for some matrix F to-be-found, as well as the set of all solutions. The strong F-positive realness of the interpolant H implies that H is bi-stable and bi-proper. Since such an interpolant is needed in the strong stabilization problem

This article presents a new set representation named the hybrid zonotope that is equivalent to the union of 2N constrained zonotopes – convex polytopes – through the addition of N binary zonotope factors. The major contribution of this manuscript is a closed-form solution for exact forward reachable sets of discrete-time, linear hybrid systems modeled as mixed logical dynamical systems. The proposed

Abstract not available

Advances in and increased access to mobile technology have prompted businesses to embrace gamified applications, particularly to enhance customer engagement. Thus, it is important to highlight not only the antecedents and consequences of customer engagement but also the critical role of gamification. This study aims to examine the causal relationships among brand identification, self-expressiveness

Oscillations often take place in populations of decision makers that are either a coordinator, who takes action only if enough others do so, or an anticoordinator, who takes action only if few others do so. Populations consisting of exclusively one of these types are known to reach an equilibrium, where every individual is satisfied with her decision. Yet it remains unknown whether oscillations take

The problem of estimating the temperatures and the heat transfer coefficient of a concentric tube heat exchanger coupled with a heater is considered in this work. Measurements collected from the extremities of the exchanger tube are used to estimate the heat distribution over the length of the exchanger, which induces a boundary estimation problem. This system, which is part of any standard cooling

This article discusses a more practical deception attack on the continuous-time switched systems, i.e. a malicious attacker tampers with the binary 01 code transmitted through the network. Assume that the switching is slow enough and the attacker’s energy is limited, we propose a coding transmission strategy based on bandwidth allocation, which selects a part of the network bandwidth for reverse data

We consider arbitrary trajectories subject to a coordinate-wise energy decrease: the sign of the derivative of each entry is never the same as that of the corresponding entry of the gradient of some energy function. We show that this simple condition guarantees convergence to a point, to the minimum of the energy functions, or to a set where its Hessian has very specific properties. This extends and

We propose two branch-and-bound, optimistic planning algorithms for discrete-time nonlinear optimal control problems in which there is a continuous and a discrete action (input). The dynamics and rewards (negative costs) must be Lipschitz but can otherwise be general, as long as certain boundedness conditions are satisfied by the continuous action, reward, and Lipschitz constant of the dynamics. We

With the increasing digitalization of health data, patients need to make informed decisions about the online sharing of their protected health information. This necessitates a robust technical infrastructure that enables patients to self-manage consent and the trusted exchange of this information across sharing entities. Unfortunately, current health information exchange systems in the U.S. are limited

In this paper, we propose a partial-state feedback model reference adaptive control strategy for uncertain linear time-invariant systems with unmatched disturbances. The new control design is based on parametrization and observer technique. The control structure and output matching of nominal partial-state feedback disturbance rejection are presented. The adaptive partial-state feedback disturbance

Understanding customer preferences and providing the right products at the right time to customers via personalized recommendations have been among the major interests of online retailers and service providers. This paper proposes an improved collaborative filtering model that incorporates a firm's marketing effort variables (i.e., media promotional variables) to improve the prediction of customers'

This paper investigates the impact of communication packet loss on Distributed Optimal Frequency Control (DOFC) in Alternating Current (AC) electric energy systems, populated with multiple clusters of hybrid producer–consumer (prosumer) agents. The paper first establishes rigorous relationships between the communication packet delivery ratio and the convergence rate of the proposed DOFC algorithm.

Forecasting online product sales is essential for retailers and e-commerce platforms, but it can be challenging owing to the complex dynamics and mixed trends in sales data. Popular end-to-end approaches tend to capture spurious correlations in historical data, whereas two-stage approaches that decompose time series and make separate predictions often result in error accumulation. To address these

We study a brick-and-mortar (B&M) retailer competing with an online retailer in the same product category under showrooming conditions. Showrooming takes place when consumers visit the B&M retailer to resolve product fit uncertainty first and then buy the best-fit products at the online retailer. In terms of mitigating the showrooming effect, we examine a promotion strategy with which the B&M retailer

For perturbed continuous-time systems, this paper proposes a robust model predictive control (RMPC) strategy for the regulation problem, exploiting a sliding mode disturbance observer. The main advantage is that it effectively enables the RMPC to be designed based on a model with reduced uncertainties. The proposed sliding mode observer (SMO) is finite-time convergent allowing the estimation error

Intelligent manufacturing has promoted the development of Industry 4.0 and enabled the manufacturing industry to gradually move into the stage of intelligence with the rapid development of the Internet of Things and the Industrial Internet. An intelligent manufacturing system is a manufacturing system that can automatically adapt to changing environments and varying process requirements with minimal

The rapid evolution of technology has radically changed our everyday lives from multiple points of view. Systems and devices are nowadays more interconnected and capable of taking autonomous decisions without or with limited human intervention. Among the others, transportation systems are populated by smart and interconnected vehicles that need to communicate with each other and with critical infrastructures

One day, as a wind started blowing, the oak tree, as usual, said mockingly “Oh! Reeds you move to and fro even with the slightest breeze.” The reeds kept quiet and continued to sway back and forth. “Look at me. I am so strong and mighty. Nothing can uproot me or bend me” boasted the oak tree.

This issue of IEEE Control Systems is devoted to soft robotics. The guest editor for this special issue is Helmut Hauser. He has assembled four articles for this special issue: see [A1] , by Cosimo Della Santina, Christian Duriez, and Daniela Rus; [A2] , by Concepcion A. Monje, Bastian Deutschmann, Jorge Muñoz, Christian Ott, and Carlos Balaguer; [A3] , by Cecilia Laschi, Thomas George Thuruthel, Fumiya

At my university, University of California, Irvine (UCI), we have started talking about “inreach” as a companion to the established notion of “outreach.” This small change in narrative has led to a surprisingly powerful set of changes in how we operate as an academic unit. As part of this “President’s Message,” I am including a recent article, coauthored with Marvin Maldonado, the director for inreach

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Automatic control covers a wide range of topics from mathematics to processes and computers. A good control engineer must master a wide variety of concepts, techniques and ideas. In addition, he or she must be able to apply them to real industrial problems. Typical tasks include mathematical modeling, analysis, simulation, design and implementation. The ability to solve these problems rests heavily

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

In this issue of IEEE Control Systems , we speak with Meeko Oishi, a professor and regents’ lecturer at the University of New Mexico (UNM); Dr. Niklas Karlsson, senior principal research scientist at Amazon, where he is driving the science vision for the Amazon Demand Side Platform; and Hector Ramirez, an assistant professor at the Universidad Técnica Federico Santa María (UTFSM) in Chile.

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Soft robotics is a new and fast-growing field of robotics [1] , [2] . It proposes to extend conventional robotics by going beyond the default building blocks, that is, rigid body parts and high-torque servo motors. Soft robotics also uses soft materials like silicone, hydrogels, and polymers. It also includes a wide range of smart materials that are able to change physical properties when stimulated

From a functional standpoint, classic robots are not at all similar to biological systems. If compared with rigid robots, animals’ bodies look overly redundant, imprecise, and weak. Nevertheless, animals can still perform a vast range of activities with unmatched effectiveness. Many studies in biomechanics have pointed to the elastic and compliant nature of the musculoskeletal system as a fundamental

Continuum soft robots are made up of soft material components (referred to as continuum), rigid components, actuators, and sensors. By structurally deforming the continuum, a motion of the entire system is initiated. To capture the interaction of the actuators on the soft material deformation and the corresponding sensor readings, mathematical models involving geometrical, material, and inertia parameters

In the last few decades, soft robotics technologies have challenged conventional approaches by introducing new, compliant bodies to the world of rigid robots. These technologies and systems may enable a wide range of applications, including human–robot interaction and dealing with complex environments. Soft bodies can adapt their shape to contact surfaces, distribute stress over a larger area, and

Traditional robot designs typically employ rigid body parts and high-torque servo motors. This helps to obtain simple reproducible models and, therefore, to facilitate control. Soft robotics is a new research field that deliberately expands the design toolbox to a wide range of smart and, often, soft materials. This approach is generally inspired by the remarkable performance of biological systems

In this issue of IEEE Control Systems , we speak with Anastisia Bizyaeva, a postdoctoral fellow at the University of Washington, Seattle, WA, USA, and Jeremy Coulson, an assistant professor at the University of Wisconsin–Madison, Madison, WI, USA.

Q. How would you pitch your Ph.D. dissertation in one paragraph?

Q. How would you pitch your Ph.D. dissertation in one paragraph?

Lund is a city in the southern Swedish province of Scania, across the strait from Copenhagen, Denmark. Archeologists date the foundation of Lund to around 990, when the area was part of Denmark. Lund University was founded in 1666 and is one of Scandinavia’s oldest and largest institutions for education and research. It is consistently the most popular choice in Sweden for international degree students

Presents reviews for the following list of books, Six Degrees of Freedom: Opportunities Met, Risks Taken, Lessons Learned.

Presents reviews for the following list of books, (An Applied Mathematician’s Apology, Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation, and Perspectives, Mathematical Foundations of Finite Elements and Iterative Solvers, Foundations of Computational Imaging: A Model-Based Approach, How To Be Creative: A Practical Guide for the Mathematical Sciences, A Toolbox For

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Mobile devices have become increasingly prevalent in the context of consumers' offline search and shopping behavior by acting as personal decision support tools. This paper investigates the relationship between consumers' real-time location and their search behavior when shopping offline. We develop two location-specific measures based on mobile device usage to analyze the association between a consumer's

The current governance model of gig platform ecosystems benefits gig platforms and customers, but puts gig workers in the weakest position of the triangular relationship. Thus, gig workers experience difficulty in addressing hardships related to gig work. To this end, we must determine how gig platforms build a governance environment that matches gig workers to help them craft gig work. However, extant

The optimization problem in model predictive control (MPC) algorithm for piecewise affine (PWA) systems often contains substantial logic variables, which requires extensive computing power for online implementation. This paper proposes a one-step distributed MPC algorithm for spatially interconnected PWA systems with both input and state constraints, where the algorithm is based on a series of r-step

Enterprise collaboration technologies (ECTs) are increasingly recognized for supporting effective and efficient digital collaboration, such as decision-making activities, among employees. Given the social and collaborative nature of ECT use, social network theory offers important and helpful insights into how and why employees' social network relations facilitate their ECT use. However, existing research

For data-driven iterative learning control (ILC) methods, both the model estimation and controller design problems are converted to parameter estimation problems for some chosen model structures. It is well-known that if the model order is not chosen carefully, models with either large variance or large bias would be resulted, which is one of the obstacles to further improve the modeling and tracking

Livestream e-commerce has been developing at a tremendous pace in recent years. On livestream platforms, such as Douyin, a retailer attracts viewers into the live room through short video advertising, and then streamers promote and sell products in real time. In such a scenario, an accurate prediction of traffic and sales plays an essential role in operation management, including live content strategy