Topic
Transfer function
About: Transfer function is a research topic. Over the lifetime, 14362 publications have been published within this topic receiving 214983 citations. The topic is also known as: system function & network function.
Papers published on a yearly basis
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TL;DR: A reduced-order small-signal closed-loop transfer function model based on Jordan continued-fraction expansion is proposed to assess the dynamic characteristics of the droop-controlled inverter and provide the preprocessing method for the real-time simulation of power systems.
Abstract: This article proposes a reduced-order small-signal closed-loop transfer function model based on Jordan continued-fraction expansion to assess the dynamic characteristics of the droop-controlled inverter and provide the preprocessing method for the real-time simulation of power systems. Firstly, dynamic phasors, time delay and zero-order hold are embedded into the small-signal model at the same time, then the closed-loop transfer function of the droop-controlled inverter is built. Compared with the existing closed-loop transfer function approaches, the accuracy of the built transfer function model is dramatically enhanced. Meanwhile, the inner cascaded voltage/current controller parameters are also designed. In order to directly obtain and preserve the maximum overshoot and settling time, which are main features to evaluate the system input-output dynamic response characteristics, the reduced second order closed-loop transfer function is proposed through the continued-fraction expansion regarding arbitrary points on the real frequency axis. Therein, this second order closed-loop transfer function with dynamic response of the original inverter is reduced to the lowest order. Furthermore, combined with the impedance-based approach, the proposed stability assessment approach is utilized to analyze the stability of the microgrid with multiple converters. Finally, simulations and experimental results demonstrate the convenience and accuracy of the proposed approach.
89 citations
02 Jun 1975
TL;DR: In this article, a novel technique-Volterra series analysis-is applied to the analysis of a nonlinearly loaded antenna, where the electromagnetic field problem is first reduced to a network problem by application of the method of moments.
Abstract: A novel technique-Volterra series analysis-is applied to the analysis of a nonlinearly loaded antenna. The electromagnetic field problem is first reduced to a network problem by application of the method of moments. The nonlinear network problem is then solved using the Volterra technique. A procedure with sinusoidal inputs for obtaining a time domain solution from the frequency domain solution without using fast Fourier transform techniques is demonstrated. The i-v characteristic of the nonlinear load is approximated from scattered power measurements. The derived i-v characteristic is then used to predict scattered power levels at different intermodulation responses of the loaded antenna.
89 citations
TL;DR: This paper is concerned with the realization of a given arbitrary filter transfer function as a network of resistively interconnected integrators using a new technique called intermediate function (IF) synthesis, based on the selection of a set of functions to serve as either the transfer functions from the filter input to the integrator outputs or the transfer function from the Integrator inputs to the filter output.
Abstract: This paper is concerned with the realization of a given arbitrary filter transfer function as a network of resistively interconnected integrators. These state-space realizations are synthesized using a new technique called intermediate function (IF) synthesis. The technique is based on the selection of a set of functions to serve as either the transfer functions from the filter input to the integrator outputs or the transfer functions from the integrator inputs to the filter output. Relationships between the filter sensitivity and dynamic range and the intermediate functions are derived. A number of results are also given to aid in the selection of a set of IF's that yields structures with optimum performance.
89 citations
TL;DR: In this paper, a new probabilistic critical excitation method is proposed to maximize the stochastic response index (SRI) of a structural design method taking into account the uncertainties of ground motions.
89 citations
TL;DR: A new modal linear predictive controller is described that is optimized by minimization of the residual wave-front error with a modified recursive least-squares algorithm and can be performed with closed-loop data in the case of evolving turbulent conditions.
Abstract: For closed-loop adaptive optics systems limited by time delay and measurement noise, we demonstrate that the ideal rejection transfer function is proportional to the frequency signal-to-noise ratio of the wave-front input. We describe a new modal linear predictive controller that approaches this ideal transfer function. Its parameters are optimized by minimization of the residual wave-front error with a modified recursive least-squares algorithm. The optimization can be performed with closed-loop data in the case of evolving turbulent conditions. We present numerical simulations to show the significant improvements brought by the predictor.
88 citations