How scaling of the disturbance set affects robust positively invariant sets for linear systems

This paper presents new results on robust positively invariant (RPI) sets for linear discrete-time systems with additive disturbances. In particular, we study how RPI sets change with scaling of the disturbance set. More precisely, we show that many properties of RPI sets crucially depend on a unique scaling factor which determines the transition from nonempty to empty RPI sets. We characterize this critical scaling factor, present an efficient algorithm for its computation, and analyze it for a number of examples from the literature

Implicit predictors in regularized data-driven predictive control

We introduce the notion of implicit predictors, which characterize the input-(state)-output prediction behavior underlying a predictive control scheme, even if it is not explicitly enforced as an equality constraint (as in traditional model or subspace predictive control). To demonstrate this concept, we derive and analyze implicit predictors for some basic data-driven predictive control (DPC) schemes, which offers a new perspective on this popular approach that may form the basis for modified DPC schemes and further theoretical insights.Comment: This paper is a reprint of a contribution to the IEEE Control Systems Letters. 6 pages, 2 figure

Interorganizational Data Sharing in Health Ecosystems - A Case Sudy

The integration of external data offers enormous potential for new and expanded value propositions for companies. However, organizations often refrain from sharing data as they expect detrimental consequences from it. This study provides insights into how organizations decide to share data within the ecosystem and what organizations can do to motivate other organizations within the ecosystem to share data with them. Using privacy calculus and ecosystems theory to sensitize a qualitative case study of the German orthopedic market, we derive three risks (weakening one’s position in the ecosystem, IT alignment investments, and penalties for data protection violations) as well as three benefits (increased value creation of the ecosystem, competitive advantage over other ecosystems, and gaining additional transactions) perceived by organizations considering to share data. Further, three strategies for obtaining data from other organizations are derived: mitigating the risks, emphasizing the benefits, and bypassing the calculus

Operating single quantum emitters with a compact Stirling cryocooler

This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Review of Scientific Instruments 86, 013113 (2015) and may be found at https://doi.org/10.1063/1.4906548.The development of an easy-to-operate light source emitting single photons has become a major driving force in the emerging field of quantum information technology. Here, we report on the application of a compact and user-friendly Stirling cryocooler in the field of nanophotonics. The Stirling cryocooler is used to operate a single quantum emitter constituted of a semiconductor quantum dot (QD) at a base temperature below 30 K. Proper vibration decoupling of the cryocooler and its surrounding enables free-space micro-photoluminescence spectroscopy to identify and analyze different charge-carrier states within a single quantum dot. As an exemplary application in quantum optics, we perform a Hanbury-Brown and Twiss experiment demonstrating a strong suppression of multi-photon emission events with g(2)(0) < 0.04 from this Stirling-cooled single quantum emitter under continuous wave excitation. Comparative experiments performed on the same quantum dot in a liquid helium (LHe)-flow cryostat show almost identical values of g(2)(0) for both configurations at a given temperature. The results of this proof of principle experiment demonstrate that low-vibration Stirling cryocoolers that have so far been considered exotic to the field of nanophotonics are an attractive alternative to expensive closed-cycle cryostats or LHe-flow cryostats, which could pave the way for the development of high-quality table-top non-classical light sources.BMBF, 03V0630, Entwicklung einer Halbleiterbasierten Einzelphotonenquelle für die Quanteninformationstechnologie (QSOURCE)DFG, 43659573, SFB 787: Halbleiter - Nanophotonik: Materialien, Modelle, Bauelement

Two-photon interference from remote deterministic quantum dot microlenses

This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Appl. Phys. Lett. 110, 011104 (2017) and may be found at https://doi.org/10.1063/1.4973504.We report on two-photon interference (TPI) experiments using remote deterministic single-photon sources. Employing 3D in-situ electron-beam lithography, we fabricate quantum-light sources at specific target wavelengths by integrating pre-selected semiconductor quantum dots within monolithic microlenses. The individual single-photon sources show TPI visibilities of 49% and 22%, respectively, under pulsed p-shell excitation at 80 MHz. For the mutual TPI of the remote sources, we observe an uncorrected visibility of 29%, in quantitative agreement with the pure dephasing of the individual sources. Due to its efficient photon extraction within a broad spectral range (>20 nm), our microlens-based approach is predestinated for future entanglement swapping experiments utilizing entangled photon pairs emitted by distant biexciton-exciton radiative cascades.DFG, 43659573, SFB 787: Halbleiter - Nanophotonik: Materialien, Modelle, BauelementeEC/FP7/615613/EU/External Quantum Control of Photonic Semiconductor Nanostructures/EXQUISIT

Advanced in-situ electron-beam lithography for deterministic nanophotonic device processing

This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Review of Scientific Instruments 86, 073903 (2015) and may be found at https://doi.org/10.1063/1.4926995.We report on an advanced in-situ electron-beam lithography technique based on high-resolution cathodoluminescence (CL) spectroscopy at low temperatures. The technique has been developed for the deterministic fabrication and quantitative evaluation of nanophotonic structures. It is of particular interest for the realization and optimization of non-classical light sources which require the pre-selection of single quantum dots (QDs) with very specific emission features. The two-step electron-beam lithography process comprises (a) the detailed optical study and selection of target QDs by means of CL-spectroscopy and (b) the precise retrieval of the locations and integration of target QDs into lithographically defined nanostructures. Our technology platform allows for a detailed pre-process determination of important optical and quantum optical properties of the QDs, such as the emission energies of excitonic complexes, the excitonic fine-structure splitting, the carrier dynamics, and the quantum nature of emission. In addition, it enables a direct and precise comparison of the optical properties of a single QD before and after integration which is very beneficial for the quantitative evaluation of cavity-enhanced quantum devices.DFG, 43659573, SFB 787: Halbleiter - Nanophotonik: Materialien, Modelle, Bauelement

A deterministic view on explicit data-driven (M)PC

We show that the explicit realization of data-driven predictive control (DPC) for linear deterministic systems is more tractable than previously thought. To this end, we compare the optimal control problems (OCP) corresponding to deterministic DPC and classical model predictive control (MPC), specify its close relation, and systematically eliminate ambiguity inherent in DPC. As a central result, we find that the explicit solutions to these types of DPC and MPC are of exactly the same complexity. We illustrate our results with two numerical examples highlighting features of our approach.Comment: 7 pages, 2 figure, submitted to 61st IEE Conference on Decision and Control 202

Conducting Online Focus Groups - Practical Advice for Information Systems Researchers

Video-based online focus groups present an emerging opportunity for IS researchers to collect rich data. They allow researchers to assemble participants from all over the world who collectively discuss contemporary IS phenomena. In order to realize the full potential of online focus groups for IS research, we need to understand the challenges and uncover possible solutions for designing and conducting online focus groups. We review prior (online) focus group literature in and beyond the IS discipline. Additionally, we provide a detailed account of our own experiences with seven online focus groups in the context of digital platforms. In supplementing our own experiences with those of others in prior literature, we present the conditions under which online focus groups are especially appropriate, summarize the challenges inherent in the online focus group method and provide practical advice on its application

Algorithmic Unfairness on Digital Labor Platforms: How Algorithmic Management Practices Disadvantage Workers

On digital labor platforms, interactions between workers and clients are algorithmically managed. Previous research found that algorithmic management can disadvantage workers. In this paper, we empirically examine algorithmic unfairness from a sociotechnical perspective. Specifically, we conduct online focus groups with 23 workers who directly interact with algorithmic management practices on digital labor platforms. In using grounded theory methodology, we pursue to understand how algorithmic management promotes unfairness on digital labor platforms. Our emergent theory understands algorithmic unfairness as algorithmic management practices that give rise to systematic disadvantages for workers. Algorithmic management practices either automate decisions or automate the delegation of decisions. Workers experience systematic disadvantages in the form of devaluation, restriction, and exclusion. Our findings serve as a starting point for mitigating algorithmic unfairness in the future