928 research outputs found

    Physical Dissipation and the Method of Controlled Lagrangians

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    We describe the effect of physical dissipation on stability of equilibria which have been stabilized, in the absence of damping, using the method of controlled Lagrangians. This method applies to a class of underactuated mechanical systems including “balance” systems such as the pendulum on a cart. Since the method involves modifying a system’s kinetic energy metric through feedback, the effect of dissipation is obscured. In particular, it is not generally true that damping makes a feedback-stabilized equilibrium asymptotically stable. Damping in the unactuated directions does tend to enhance stability, however damping in the controlled directions must be “reversed” through feedback. In this paper, we suggest a choice of feedback dissipation to locally exponentially stabilize a class of controlled Lagrangian systems

    Dissipation and Controlled Euler-Poincaré Systems

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    The method of controlled Lagrangians is a technique for stabilizing underactuated mechanical systems which involves modifying a system’s energy and dynamic structure through feedback. These modifications can obscure the effect of physical dissipation in the closed-loop. For example, generic damping can destabilize an equilibrium which is closed-loop stable for a conservative system model. In this paper, we consider the effect of damping on Euler-PoincarĂ© (special reduced Lagrangian) systems which have been stabilized about an equilibrium using the method of controlled Lagrangians. We describe a choice of feed-back dissipation which asymptotically stabilizes a sub-class of controlled Euler-PoincarĂ© systems subject to physical damping. As an example, we consider intermediate axis rotation of a damped rigid body with a single internal rotor

    Asymptotic stabilization of Euler-Poincaré mechanical systems

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    Stabilization of mechanical control systems by the method of controlled Lagrangians and matching is used to analyze asymptotic stabilization of systems whose underlying dynamics are governed by the Euler-PoincarÂŽe equations. In particular, we analyze asymptotic stabilization of a satellite

    Calibrating the relation of low-frequency radio continuum to star formation rate at 1 kpc scale with LOFAR

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    9 figures, 6 tables and 17 pages. This paper is part of the LOFAR surveys data release 1 and has been accepted for publication in a special edition of A&A that will appear in Feb 2019, volume 622. The catalogues and images from the data release will be publicly available on lofar-surveys.org upon publication of the journal. Reproduced with permission from Astronomy & Astrophysics. © 2018 ESO.Radio continuum (RC) emission in galaxies allows us to measure star formation rates (SFRs) unaffected by extinction due to dust, of which the low-frequency part is uncontaminated from thermal (free-free) emission. We calibrate the conversion from the spatially resolved 140 MHz RC emission to the SFR surface density (ÎŁSFR\Sigma_{\rm SFR}) at 1 kpc scale. We used recent observations of three galaxies (NGC 3184, 4736, and 5055) from the LOFAR Two-metre Sky Survey (LoTSS), and archival LOw-Frequency ARray (LOFAR) data of NGC 5194. Maps were created with the facet calibration technique and converted to radio ÎŁSFR\Sigma_{\rm SFR} maps using the Condon relation. We compared these maps with hybrid ÎŁSFR\Sigma_{\rm SFR} maps from a combination of GALEX far-ultraviolet and Spitzer 24 ÎŒm\mu\rm m data using plots tracing the relation at 1.2×1.21.2\times 1.2-kpc2^2 resolution. The RC emission is smoothed with respect to the hybrid ÎŁSFR\Sigma_{\rm SFR} owing to the transport of cosmic-ray electrons (CREs). This results in a sublinear relation (ÎŁSFR)RC∝[(ÎŁSFR)hyb]a(\Sigma_{\rm SFR})_{\rm RC} \propto [(\Sigma_{\rm SFR})_{\rm hyb}]^{a}, where a=0.59±0.13a=0.59\pm 0.13 (140 MHz) and a=0.75±0.10a=0.75\pm 0.10 (1365 MHz). Both relations have a scatter of σ=0.3 dex\sigma = 0.3~\rm dex. If we restrict ourselves to areas of young CREs (α>−0.65\alpha > -0.65; IΜ∝ΜαI_\nu \propto \nu^\alpha), the relation becomes almost linear at both frequencies with a≈0.9a\approx 0.9 and a reduced scatter of σ=0.2 dex\sigma = 0.2~\rm dex. We then simulate the effect of CRE transport by convolving the hybrid ÎŁSFR\Sigma_{\rm SFR} maps with a Gaussian kernel until the RC-SFR relation is linearised; CRE transport lengths are l=1l=1-5 kpc. Solving the CRE diffusion equation, we find diffusion coefficients of D=(0.13D=(0.13-1.5)×1028cm2 s−11.5) \times 10^{28} \rm cm^2\,s^{-1} at 1 GeV. A RC-SFR relation at 1.41.4 GHz can be exploited to measure SFRs at redshift z≈10z \approx 10 using 140140 MHz observations.Peer reviewe
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