4,950 research outputs found
On computing minimal realizations of periodic descriptor systems
Abstract: We propose computationally efficient and numerically reliable algorithms to compute minimal realizations of periodic descriptor systems. The main computational tool employed for the structural analysis of periodic descriptor systems (i.e., reachability and observability) is the orthogonal reduction of periodic matrix pairs to Kronecker-like forms. Specializations of a general reduction algortithm are employed for particular type of systems. One of the proposed minimal realization transformations for which the backward numerical stability can be proved
Quasinormal modes of Kerr-Newman black holes: coupling of electromagnetic and gravitational perturbations
We compute numerically the quasinormal modes of Kerr-Newman black holes in
the scalar case, for which the perturbation equations are separable. Then we
study different approximations to decouple electromagnetic and gravitational
perturbations of the Kerr-Newman metric, computing the corresponding
quasinormal modes. Our results suggest that the Teukolsky-like equation derived
by Dudley and Finley gives a good approximation to the dynamics of a rotating
charged black hole for Q<M/2. Though insufficient to deal with Kerr-Newman
based models of elementary particles, the Dudley-Finley equation should be
adequate for astrophysical applications.Comment: 13 pages, 3 figures. Minor changes to match version accepted in Phys.
Rev.
A Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms
In this study, a Markovian jump model of the power generation system of a wind turbine is proposed and the authors present a closed-loop model-based observer to estimate the faults related to energy losses. The observer is designed through an H∞-based optimisation problem that optimally fixes the trade-off between the observer fault sensitivity and robustness. The fault estimates are then used in data-based decision mechanisms for achieving fault detection and isolation. The performance of the strategy is then ameliorated in a wind farm (WF) level scheme that uses a bank of the aforementioned observers and decision mechanisms. Finally, the proposed approach is tested using a well-known benchmark in the context of WF fault diagnosis
Coupled Potts models: Self-duality and fixed point structure
We consider q-state Potts models coupled by their energy operators.
Restricting our study to self-dual couplings, numerical simulations demonstrate
the existence of non-trivial fixed points for 2 <= q <= 4. These fixed points
were first predicted by perturbative renormalisation group calculations.
Accurate values for the central charge and the multiscaling exponents of the
spin and energy operators are calculated using a series of novel transfer
matrix algorithms employing clusters and loops. These results compare well with
those of the perturbative expansion, in the range of parameter values where the
latter is valid. The criticality of the fixed-point models is independently
verified by examining higher eigenvalues in the even sector, and by
demonstrating the existence of scaling laws from Monte Carlo simulations. This
might be a first step towards the identification of the conformal field
theories describing the critical behaviour of this class of models.Comment: 70 pages; 17 tables and 15 figures in text. Improved numerics;
Formula (3.16) and Table 2 correcte
Computation of Zeros of Linear Multivariable Systems
Several algorithms have been proposed in the literature for the computation of the zeros of a linear system described by a state-space model {A, B, C, D}. In this paper we discuss the numerical properties of a new algorithm and compare it with some earlier techniques of computing zeros. The method is a modified version of Silverman's structure algorithm and is shown to be backward stable in a rigorous sense. The approach is shown to handle both nonsquare and/or degenerate systems. Several numerical examples are also provided
Voltage Stabilization in Microgrids via Quadratic Droop Control
We consider the problem of voltage stability and reactive power balancing in
islanded small-scale electrical networks outfitted with DC/AC inverters
("microgrids"). A droop-like voltage feedback controller is proposed which is
quadratic in the local voltage magnitude, allowing for the application of
circuit-theoretic analysis techniques to the closed-loop system. The operating
points of the closed-loop microgrid are in exact correspondence with the
solutions of a reduced power flow equation, and we provide explicit solutions
and small-signal stability analyses under several static and dynamic load
models. Controller optimality is characterized as follows: we show a one-to-one
correspondence between the high-voltage equilibrium of the microgrid under
quadratic droop control, and the solution of an optimization problem which
minimizes a trade-off between reactive power dissipation and voltage
deviations. Power sharing performance of the controller is characterized as a
function of the controller gains, network topology, and parameters. Perhaps
surprisingly, proportional sharing of the total load between inverters is
achieved in the low-gain limit, independent of the circuit topology or
reactances. All results hold for arbitrary grid topologies, with arbitrary
numbers of inverters and loads. Numerical results confirm the robustness of the
controller to unmodeled dynamics.Comment: 14 pages, 8 figure
Nonlinear stability analysis of plane Poiseuille flow by normal forms
In the subcritical interval of the Reynolds number 4320\leq R\leq R_c\equiv
5772, the Navier--Stokes equations of the two--dimensional plane Poiseuille
flow are approximated by a 22--dimensional Galerkin representation formed from
eigenfunctions of the Orr--Sommerfeld equation. The resulting dynamical system
is brought into a generalized normal form which is characterized by a
disposable parameter controlling the magnitude of denominators of the normal
form transformation. As rigorously proved, the generalized normal form
decouples into a low--dimensional dominant and a slaved subsystem. {}From the
dominant system the critical amplitude is calculated as a function of the
Reynolds number. As compared with the Landau method, which works down to
R=5300, the phase velocity of the critical mode agrees within 1 per cent; the
critical amplitude is reproduced similarly well except close to the critical
point, where the maximal error is about 16 per cent. We also examine boundary
conditions which partly differ from the usual ones.Comment: latex file; 4 Figures will be sent, on request, by airmail or by fax
(e-mail address: rauh at beta.physik.uni-oldenburg.de
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