The Experts below are selected from a list of 61251 Experts worldwide ranked by ideXlab platform

P.c. Wang - One of the best experts on this subject based on the ideXlab platform.

  • An experimental study of Steady-State Behavior of a two-phase natural circulation loop
    Energy Conversion and Management, 1991
    Co-Authors: K.s. Chen, Y.y. Chen, S.w. Shiao, P.c. Wang
    Abstract:

    Abstract An experimental study on the Steady-State Behavior for a square, two-phase, natural circulation loop with water-steam as the working fluid is carried out in this study. Measurements of temperature and pressure distributions of the fluid around the loop were made under various heating and liquid-charge level conditions. Results show that fluid temperature and pressure at each location in the loop increase with increasing input power at a fixed percentage charge level. Higher fluid temperatures are observed at low percentage charge levels, and the overall heat transfer coefficient of the loop decreases with increasing percentage charge level at a fixed input power.

J.c.m. Bermudez - One of the best experts on this subject based on the ideXlab platform.

  • New insights on the transient and Steady-State Behavior of the quantized LMS algorithm
    IEEE Transactions on Signal Processing, 1996
    Co-Authors: Neil J. Bershad, J.c.m. Bermudez
    Abstract:

    This correspondence investigates the transient and Steady-State Behavior of the quantized LMS algorithm for Gaussian inputs. It is shown here that the so-called "stopping" phenomenon is really a "slow-down" phenomenon, which, because of an extremely slow convergence rate, looks as if the algorithm has stopped. The true Steady-State MSE is shown to be nearly independent of the number of bits in the digital word-length and very nearly the Steady-State MSE of the infinite precision LMS realization. These results assume that the algorithm "misadjustment" effects due to coefficient quantization are negligible in comparison with those due to the "stopping" phenomena. Since the true Steady State is rarely achievable with a finite number of iterations, determination of the step size /spl mu/ that minimizes the residual MSE must be based on a stochastic model for the transient mode of algorithm operation. It is shown that the finite word length and infinite precision design cases differ only in degree and not in kind as far as the selection of /spl mu/ is concerned.

  • New insights into the transient and Steady-State Behavior of the quantized LMS algorithm
    Conference Record of The Twenty-Ninth Asilomar Conference on Signals Systems and Computers, 1
    Co-Authors: Neil J. Bershad, J.c.m. Bermudez
    Abstract:

    The digital implementation of the least mean squares (LMS) algorithm is certainly one of the most popular for real-time high-speed adaptive filters. This article investigates the transient and Steady-State Behavior of the quantized LMS algorithm. It is shown that the so-called "stopping" phenomenon is really a "slow-down" phenomenon, which, because of an extremely slow convergence rate, looks as if the algorithm has stopped. The true Steady-State MSE is shown to be nearly independent of the number of bits in the digital wordlength and very nearly the Steady-State MSE of the infinite precision LMS realization. Since the true Steady-State is rarely achievable with a finite number of iterations, determination of the step size /spl mu/ that minimizes the residual MSE must be based upon a stochastic model for the transient mode of algorithm operation. It is shown that the finite wordlength and infinite precision design cases differ only in degree and not in kind as far as the selection of /spl mu/ is concerned.

Florian Dorfler - One of the best experts on this subject based on the ideXlab platform.

  • On the Steady-State Behavior of a nonlinear power system model
    Automatica, 2018
    Co-Authors: Dominic Groß, Catalin Arghir, Florian Dorfler
    Abstract:

    Abstract In this article, we consider a dynamic model of a three-phase power system including nonlinear generator dynamics, transmission line dynamics, and static nonlinear loads. We define a synchronous Steady-State Behavior which corresponds to the desired nominal operating point of a power system and obtain necessary and sufficient conditions on the control inputs, load model, and transmission network, under which the power system admits this Steady-State Behavior. We arrive at a separation between the Steady-State conditions of the transmission network and generators, which allows us to recover the Steady-State of the entire power system solely from a prescribed operating point of the transmission network. Moreover, we constructively obtain necessary and sufficient Steady-State conditions based on network balance equations typically encountered in power flow analysis. Our analysis results in several necessary conditions that any power system control strategy needs to satisfy.

  • On the Steady-State Behavior of low-inertia power systems
    IFAC-PapersOnLine, 2017
    Co-Authors: Dominic Groß, Florian Dorfler
    Abstract:

    Abstract Whereas conventional power systems heavily rely on bulk generation by synchronous machines, future power systems will be comprised of distributed generation based on renewable sources interfaced by power electronics. A direct consequence of retiring synchronous generators is the loss of rotational inertia, which thus far was the dominant time constant in a power system, as well as the loss of the generator controls, which are the main source of actuation of the power grid. Prompted by these paradigm shifts, we study the dynamic Behavior of a nonlinear and first-principle low-inertia power system model including detailed power converter models and their interactions with the power grid. In this paper, we focus particularly on the admissible Steady-State Behavior of such a low-inertia power grid and derive necessary and sufficient control specifications for power converters.

  • On the Steady-State Behavior of a nonlinear power network model
    IFAC-PapersOnLine, 2016
    Co-Authors: Catalin Arghir, Dominic Groß, Florian Dorfler
    Abstract:

    Abstract: In this paper, we consider a dynamic model of a three-phase power system including nonlinear generator dynamics and transmission line dynamics. We derive conditions under which the power system admits a Steady-State Behavior characterized by an operation of the grid at a synchronous frequency as well as a power balance for each single device. Based on this, we specify a set on which the dynamics of the power grid match the desired Steady-State Behavior and show that this set is control-invariant if and only if the control inputs to the generators are constant. Moreover, we constructively obtain network balance equations typically encountered in power flow analysis and subsequently show that the power system can be operated at the desired Steady-State if and only if the network balance equations can be solved.

K.s. Chen - One of the best experts on this subject based on the ideXlab platform.

  • An experimental study of Steady-State Behavior of a two-phase natural circulation loop
    Energy Conversion and Management, 1991
    Co-Authors: K.s. Chen, Y.y. Chen, S.w. Shiao, P.c. Wang
    Abstract:

    Abstract An experimental study on the Steady-State Behavior for a square, two-phase, natural circulation loop with water-steam as the working fluid is carried out in this study. Measurements of temperature and pressure distributions of the fluid around the loop were made under various heating and liquid-charge level conditions. Results show that fluid temperature and pressure at each location in the loop increase with increasing input power at a fixed percentage charge level. Higher fluid temperatures are observed at low percentage charge levels, and the overall heat transfer coefficient of the loop decreases with increasing percentage charge level at a fixed input power.

Neil J. Bershad - One of the best experts on this subject based on the ideXlab platform.

  • New insights on the transient and Steady-State Behavior of the quantized LMS algorithm
    IEEE Transactions on Signal Processing, 1996
    Co-Authors: Neil J. Bershad, J.c.m. Bermudez
    Abstract:

    This correspondence investigates the transient and Steady-State Behavior of the quantized LMS algorithm for Gaussian inputs. It is shown here that the so-called "stopping" phenomenon is really a "slow-down" phenomenon, which, because of an extremely slow convergence rate, looks as if the algorithm has stopped. The true Steady-State MSE is shown to be nearly independent of the number of bits in the digital word-length and very nearly the Steady-State MSE of the infinite precision LMS realization. These results assume that the algorithm "misadjustment" effects due to coefficient quantization are negligible in comparison with those due to the "stopping" phenomena. Since the true Steady State is rarely achievable with a finite number of iterations, determination of the step size /spl mu/ that minimizes the residual MSE must be based on a stochastic model for the transient mode of algorithm operation. It is shown that the finite word length and infinite precision design cases differ only in degree and not in kind as far as the selection of /spl mu/ is concerned.

  • New Insights on the Transient and Steady-State Behavior of the Quantized LMS Algorithm
    1995
    Co-Authors: Neil J. Bershad, Jose C. M. Bermudez
    Abstract:

    This note investigates the transient and Steady-State Behavior of the quantized LMS algorithm. It is shown here that the so-called stopping phenomenon is really a slow-down phenomenon, which, because of an extremely slow convergence rate, looks as if the algorithm has stopped. The true Steady-State MSE is shown to be nearly independent of the number of bits in the digital word-length and very nearly the Steady-State MSE of the infinite precision LMS realization. Since the true Steady-State is rarely achievable with a finite number of iterations, determination of the step size m that minimizes the residual MSE must be based upon a stochastic model for the transient mode of algorithm operation. It is shown that the finite wordength and infinite precision design cases differ only in degree and not in kind as far as the selection of m is concerned.

  • New insights into the transient and Steady-State Behavior of the quantized LMS algorithm
    Conference Record of The Twenty-Ninth Asilomar Conference on Signals Systems and Computers, 1
    Co-Authors: Neil J. Bershad, J.c.m. Bermudez
    Abstract:

    The digital implementation of the least mean squares (LMS) algorithm is certainly one of the most popular for real-time high-speed adaptive filters. This article investigates the transient and Steady-State Behavior of the quantized LMS algorithm. It is shown that the so-called "stopping" phenomenon is really a "slow-down" phenomenon, which, because of an extremely slow convergence rate, looks as if the algorithm has stopped. The true Steady-State MSE is shown to be nearly independent of the number of bits in the digital wordlength and very nearly the Steady-State MSE of the infinite precision LMS realization. Since the true Steady-State is rarely achievable with a finite number of iterations, determination of the step size /spl mu/ that minimizes the residual MSE must be based upon a stochastic model for the transient mode of algorithm operation. It is shown that the finite wordlength and infinite precision design cases differ only in degree and not in kind as far as the selection of /spl mu/ is concerned.