122 research outputs found

    Entrepreneurship and Economic Growth: An Investigation into the Relationship between Entrepreneurship and Total Factor Productivity Growth in the EU

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    Endogenous growth theory assigns an important role for entrepreneurship in the process of economic development. This paper sets to formally test the impact of entrepreneurship on economic growth. Entrepreneurship is represented by a number of proxy variables, whereas Total Factor Productivity is used as a measure of economic growth. Panel data of 26 European countries repeatedly sampled over a period of 11 years is used to estimate a Random Effects model. This study finds that entrepreneurship contributes to growth moderately. It is not, nonetheless, a dominant force shaping changes in TFP growth rates. Business Birth Rate, Self-employment Rate, Business Investment and Labour Productivity Growth were all found to be highly significant. The article concludes that more encompassing measure of entrepreneurship needs to be developed, one that would reflect the complexity of the notion.entrepreneurship, total factor productivity, economic growth, the EU

    LMI based Stability and Stabilization of Second-order Linear Repetitive Processes

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    This paper develops new results on the stability and control of a class of linear repetitive processes described by a second-order matrix discrete or differential equation. These are developed by transformation of the secondorder dynamics to those of an equivalent first-order descriptor state-space model, thus avoiding the need to invert a possibly ill-conditioned leading coefficient matrix in the original model

    Strong practical stability based robust stabilization of uncertain discrete linear repetitive processes

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    Repetitive processes are a distinct class of 2D systems of both theoretical and practical interest whose dynamics evolve over a subset of the positive quadrant in the 2D plane. The stability theory for these processes originally consisted of two distinct concepts termed asymptotic stability and stability along the pass respectively where the former is a necessary condition for the latter. Stability along the pass demands a bounded-input bounded-output property over the complete positive quadrant of the 2D plane and this is a very strong requirement, especially in terms of control law design. A more feasible alternative for some cases is strong practical stability, where previous work has formulated this property and obtained necessary and sufficient conditions for its existence together with Linear Matrix Inequality (LMI) based tests, which then extend to allow control law design. This paper develops considerably simpler, and hence computationally more efficient, stability tests that extend to allow control law design in the presence of uncertainty in process model

    Global well-posedness for a slightly supercritical surface quasi-geostrophic equation

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    We use a nonlocal maximum principle to prove the global existence of smooth solutions for a slightly supercritical surface quasi-geostrophic equation. By this we mean that the velocity field uu is obtained from the active scalar Ξ\theta by a Fourier multiplier with symbol ikâŠ„âˆŁk∣−1m(k∣)i k^\perp |k|^{-1} m(k|), where mm is a smooth increasing function that grows slower than log⁥log⁥∣k∣\log \log |k| as ∣k∣→∞|k|\rightarrow \infty.Comment: 11 pages, second version with slightly stronger resul

    Magnetoelastics of a spin liquid: X-ray diffraction studies of Tb2Ti2O7 in pulsed magnetic fields

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    We report high resolution single crystal x-ray diffraction measurements of the frustrated pyrochlore magnet Tb2Ti2O7, collected using a novel low temperature pulsed magnet system. This instrument allows characterization of structural degrees of freedom to temperatures as low as 4.4 K, and in applied magnetic fields as large as 30 Tesla. We show that Tb2Ti2O7 manifests intriguing structural effects under the application of magnetic fields, including strongly anisotropic giant magnetostriction, a restoration of perfect pyrochlore symmetry in low magnetic fields, and ultimately a structural phase transition in high magnetic fields. It is suggested that the magnetoelastic coupling thus revealed plays a significant role in the spin liquid physics of Tb2Ti2O7 at low temperatures.Comment: 4 pages, 4 figures, submitted for publicatio

    Active Integrated Filters for RF-Photonic Channelizers

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    A theoretical study of RF-photonic channelizers using four architectures formed by active integrated filters with tunable gains is presented. The integrated filters are enabled by two- and four-port nano-photonic couplers (NPCs). Lossless and three individual manufacturing cases with high transmission, high reflection, and symmetric couplers are assumed in the work. NPCs behavior is dependent upon the phenomenon of frustrated total internal reflection. Experimentally, photonic channelizers are fabricated in one single semiconductor chip on multi-quantum well epitaxial InP wafers using conventional microelectronics processing techniques. A state space modeling approach is used to derive the transfer functions and analyze the stability of these filters. The ability of adapting using the gains is demonstrated. Our simulation results indicate that the characteristic bandpass and notch filter responses of each structure are the basis of channelizer architectures, and optical gain may be used to adjust filter parameters to obtain a desired frequency magnitude response, especially in the range of 1–5 GHz for the chip with a coupler separation of ∌9 mm. Preliminarily, the measurement of spectral response shows enhancement of quality factor by using higher optical gains. The present compact active filters on an InP-based integrated photonic circuit hold the potential for a variety of channelizer applications. Compared to a pure RF channelizer, photonic channelizers may perform both channelization and down-conversion in an optical domain

    Iterative Learning Control Based on Relaxed 2D Systems Stability Criteria

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    This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/control theory for linear repetitive processes. These processes propagate in two independent directions and arise in the modeling of a number of physical processes. The duration of information propagation in one of the two directions is finite, and this is a key link to ILC which has been developed as a technique for controlling systems which are required to repeat the same operation over a finite duration known as the trial length and information from previous executions is used to update the control input for the next trial and thereby sequentially improve performance. The experimental performance of the new algorithms on a gantry robot is reported, including a comparison with alternative designs
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