Article

Does Volume Directly Affect Outcome in Vascular Surgical Procedures?

European Journal of Vascular and Endovascular Surgery (Impact Factor: 3.07). 11/2007; 34(4):386-9. DOI: 10.1016/j.ejvs.2007.06.013
Source: PubMed
0 Followers
 · 
89 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: First Page of the Article
    IEEE 1984 Ultrasonics Symposium; 02/1984
  • [Show abstract] [Hide abstract]
    ABSTRACT: An electrostatic actuator for micropumps driving has been designed. Modelling and optimisation of the actuator have been made for obtaining small driving voltages for harmonic oscillations in the kHz frequency range with submicrometer amplitudes and for developing improved external forces
    Semiconductor Conference, 1997. CAS '97 Proceedings., 1997 International; 11/1997
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We are motivated by the need to derive simple control-oriented models of complex systems. Briefly, complex systems are a collection of systems that are not approximable (arbitrarily closely) by a finitely parameterized collection of systems. The study of system identification for such classes of systems has received considerable attention in the past few years. In this paper a new formulation of the system identification problem, which balances between the set-membership and probabilistic approaches is presented. The salient feature of the formulation is that we distinguish between the two principal sources of error encountered in the input-output data-noise and unmodeled dynamics. Unmodeled dynamics arise from the fact that the finitely parameterized model that we seek does not truly characterize the real system. Therefore, unmodeled dynamics are “modeled” as the residual error between the parametric model and the real system. This viewpoint leads to a decomposition between the parametric model class and unmodeled dynamics. In contrast noise is modeled so that it is uncorrelated (in a deterministic or a stochastic sense) from the input. The identification problem deals with obtaining the appropriate finite parametric model from input-output data. The identification problem is studied for several different norms including l<sub>1</sub> and H<sub>∞</sub>. One of the chief outcomes is a new notion of a persistent input and showing that there are both deterministic and stochastic inputs which meet the new criterion
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on; 01/1998