scholarly journals RESEARCH ON TRANSFERING THE DYNAMIC PROCESS BY THE SPRING

2010 ◽  
Vol 2 (4) ◽  
pp. 13-17
Author(s):  
Vytautas Bučinskas ◽  
Jevgenij Dmitrijev
Keyword(s):  
Transfer Function ◽  
Input Signal ◽  
Dynamic Process ◽  
Free Oscillations ◽  
Input Signals ◽  
Electromagnetic Vibrator ◽  
External Body

The article describes the particulars of transferring the dynamic process applying the spring and explains the possibilities of diagnostics for support bearings insulated from the external body using resilient elements. The carried out research has revealed methodology for investigation and suggested a suitable research stand. The input signal of impulse type was submitted to the system to observe free oscillations in the stand. Also, the system was stimulated employing an electromagnetic vibrator to research the transfer function of the spring. Finally, using output and input signals at the ends of the spring, the transfer function was derived.

On a Certain Class of Expanding Systems

2010 ◽  
Vol 17 (2) ◽  
pp. 299-306
Author(s):  
Adam Żuchowski
Keyword(s):  
Transfer Function ◽  
Input Signal ◽  
Initial Conditions ◽  
System Optimization ◽  
Gain Coefficient ◽  
Time Intervals ◽  
System Parameters ◽  
Linear Dynamic ◽  
Subsequent Time ◽  
Input Signals

On a Certain Class of Expanding Systems The interesting properties of a class of expanding systems are discussed. The operation of the considered systems can be described as follows: the input signal is processed by a linear dynamic converter in subsequent time intervals, each of them is equal to Ti. Processing starts at the moments n · Ti, always after zeroing of converter initial conditions. For smooth input signals and a given transfer function of the converter one can suitably choose Ti and the gain coefficient in order to realize the postulated linear operations on input signals, which is quite different comparing it to the operation realized by the converter. The errors of postulated operations are mainly caused by non-smooth components of the input signal. The principles for choice of system parameters and rules for system optimization are presented in the paper. The referring examples are attached too.

Pulse-Width Modulated Amplifier for DC Servo System and Its Matlab Simulation

2015 ◽  
Vol 9 (1) ◽  
pp. 625-631
Author(s):  
Ma Xiaocheng ◽  
Zhang Haotian ◽  
Cheng Yiqing ◽  
Zhu Lina ◽  
Wu Dan
Keyword(s):  
Mathematical Model ◽  
Transfer Function ◽  
Input Signal ◽  
Pulse Width ◽  
Rotation Speed ◽  
Servo Motor ◽  
Matlab Simulation ◽  
Pulse Width Modulated ◽  
Signal Changes ◽  
The Relationship

This paper introduces a mathematical model for Pulse-Width Modulated Amplifier for DC Servo Motor. The relationship between pulse-width modulated (PWM) signal and reference rotation speed is specified, and a general model of motor represented by transfer function is also put forward. When the input signal changes, the rotation speed of the servo motor will change accordingly. By changing zeros and poles, transient performance of this system is discussed in detail, and optimal ranges of the parameters is recommended at the end of discussion.

scholarly journals Spatial Unmasking Effect on Speech Reception Threshold in the Median Plane

2020 ◽  
Vol 10 (15) ◽  
pp. 5257
Author(s):  
Nathan Berwick ◽  
Hyunkook Lee
Keyword(s):  
Transfer Function ◽  
Input Signal ◽  
Function Analysis ◽  
Median Plane ◽  
Speech Reception ◽  
Transfer Function Analysis ◽  
Spatial Unmasking ◽  
Head Related Transfer Function ◽  
Speech Reception Thresholds ◽  
Energy Weighting

This study examined whether the spatial unmasking effect operates on speech reception thresholds (SRTs) in the median plane. SRTs were measured using an adaptive staircase procedure, with target speech sentences and speech-shaped noise maskers presented via loudspeakers at −30°, 0°, 30°, 60° and 90°. Results indicated a significant median plane spatial unmasking effect, with the largest SRT gain obtained for the −30° elevation of the masker. Head-related transfer function analysis suggests that the result is associated with the energy weighting of the ear-input signal of the masker at upper-mid frequencies relative to the maskee.

The Application of Grey Prediction on the Fast Control Power Supply in EAST

2013 ◽  
Vol 427-429 ◽  
pp. 1739-1742
Author(s):  
Hai Hong Huang ◽  
Jia Miao ◽  
Hai Xin Wang ◽  
Feng Feng Wang
Keyword(s):  
Input Signal ◽  
Power Supply ◽  
Grey Theory ◽  
Grey Prediction ◽  
Grey System ◽  
Control Power ◽  
Input Signals ◽  
Simulation And Experiment ◽  
One Step ◽  
Fast Control

Based on the grey theory, a novel model is built to predict the input signal of fast control power supply used in Experimental Advanced Superconducting Tokamak (EAST). The model can be used as online metabolic grey filtering and one-step prediction of different input signals. Results of simulation and experiment show that the predicting algorithm based on the grey system model can predict the input signal primarily.

Application of Dynamic Input Shaping for a Dual-Mirror System

2021 ◽  
Author(s):  
Alicia Dautt-Silva ◽  
Raymond de Callafon
Keyword(s):  
Input Signal ◽  
Inverse Kinematic ◽  
Open Loop ◽  
Mirror System ◽  
Image Motion ◽  
Step Response ◽  
Input Shaping ◽  
Input Signals ◽  
Compensation Device ◽  
Operating Constraints

Abstract The task of trajectory planning for a dual-mirror optical pointing system greatly benefits from carefully designed dynamic input signals. This paper summarizes the application of multivariable input shaping (IS) for a dual-mirror system, starting from initial open-loop step-response data. The optical pointing system presented consists of two Fast Steering Mirrors (FSM) for which dynamically coupled input signals are designed, while adhering to mechanical and input signal constraints. For the solution, the planned trajectories for the dual-mirrors are determined via (inverse) kinematic analysis. A linear program (LP) problem is used to compute the dynamic input signal for each of the FSMs, with one of the mirrors acting as an image motion compensation device that guarantees tracking of a planned trajectory within a specified accuracy and the operating constraints of the FSMs.

Intracranial pressure waves: characterization of a pulsation absorber with notch filter properties using systems analysis

2008 ◽  
Vol 2 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Rui Zou ◽  
Eun-Hyoung Park ◽  
Erin McCormack Kelly ◽  
Michael Egnor ◽  
Mark E. Wagshul ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cerebrospinal Fluid ◽  
Intracranial Pressure ◽  
Transfer Function ◽  
Input Signal ◽  
Systems Analysis ◽  
Notch Filter ◽  
Time Varying ◽  
Cardiac Frequency ◽  
Arterial Blood

Object The relationship between the waveform of intracranial pressure (ICP) and arterial blood pressure can be quantitatively characterized using a newly developed technique in systems analysis, the time-varying transfer function. This technique considers the arterial blood pressure as an input signal composed of multiple frequencies represented in the output ICP according to the transfer function imposed by the intracranial system on the input signal. The transfer function can change with time and with physiological manipulations. The authors examined data obtained from canine experiments involving manipulations of ICP. Methods The authors analyzed 11 experiments from 3 normal mongrel dogs under conditions of normal ICP and with changes in ICP made by bolus injection, infusion, or withdrawal of cerebrospinal fluid by using time-varying transfer function. Results During normal ICP periods, the gain of the transfer function displayed a deep notch (≥ 1 log unit) centered at or near the cardiac frequency. In systems terms, the intracranial compartment under normal conditions appears to act as a notch filter attenuating the cardiac frequency input relative to other frequencies. Epochs of ICP elevation showed suppression of the notch, and the notch was restored when ICP returned to normal. Conclusions The intracranial system in these animals could be considered to include a pulsation absorber for which the target frequency appears to be close to the cardiac frequency. One possible source for such an absorber mechanism might be the free movement of cerebrospinal fluid, implying that impairment of this motion may have important clinical implications in various neurological conditions such as hydrocephalus.

scholarly journals A Novel Adaptive LMS Algorithm with Genetic Search Capabilities for System Identification of Adaptive FIR and IIR Filters

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 176 ◽  
Author(s):  
Amjad J. Humaidi ◽  
Ibraheem Kasim Ibraheem ◽  
Ahmed R. Ajel
Keyword(s):  
System Identification ◽  
Input Signal ◽  
Digital Filters ◽  
Learning Algorithm ◽  
Search Space ◽  
Lms Algorithm ◽  
Adaptation Algorithm ◽  
Genetic Search ◽  
Mutation Operators ◽  
Input Signals

In this paper we introduce a novel adaptation algorithm for adaptive filtering of FIR and IIR digital filters within the context of system identification. The standard LMS algorithm is hybridized with GA (Genetic Algorithm) to obtain a new integrated learning algorithm, namely, LMS-GA. The main aim of the proposed learning tool is to evade local minima, a common problem in standard LMS algorithm and its variants and approaching the global minimum by calculating the optimum parameters of the weights vector when just estimated data are accessible. In the proposed LMS-GA technique, first, it works as the standard LMS algorithm and calculates the optimum filter coefficients that minimize the mean square error, once the standard LMS algorithm gets stuck in local minimum, the LMS-GA switches to GA to update the filter coefficients and explore new region in the search space by applying the cross-over and mutation operators. The proposed LMS-GA is tested under different conditions of the input signal like input signals with colored characteristics, i.e., correlated input signals and investigated on FIR adaptive filter using the power spectral density of the input signal and the Fourier-transform of the input’s correlation matrix. Demonstrations via simulations on system identification of IIR and FIR adaptive digital filters revealed the effectiveness of the proposed LMS-GA under input signals with different characteristics.

scholarly journals Cross-Inhibitor: a time-sensitive molecular circuit based on DNA strand displacement

2020 ◽  
Vol 48 (19) ◽  
pp. 10691-10701
Author(s):  
Chanjuan Liu ◽  
Yuan Liu ◽  
Enqiang Zhu ◽  
Qiang Zhang ◽  
Xiaopeng Wei ◽  
...  
Keyword(s):  
Input Signal ◽  
Dna Nanotechnology ◽  
Strand Displacement ◽  
Important Goal ◽  
Molecular Systems ◽  
Molecular Programming ◽  
Dna Strand Displacement ◽  
Input Signals ◽  
Biochemical Systems ◽  
Dna Strand

Abstract Designing biochemical systems that can be effectively used in diverse fields, including diagnostics, molecular computing and nanomachines, has long been recognized as an important goal of molecular programming and DNA nanotechnology. A key issue in the development of such practical devices on the nanoscale lies in the development of biochemical components with information-processing capacity. In this article, we propose a molecular device that utilizes DNA strand displacement networks and allows interactive inhibition between two input signals; thus, it is termed a cross-inhibitor. More specifically, the device supplies each input signal with a processor such that the processing of one input signal will interdict the signal of the other. Biochemical experiments are conducted to analyze the interdiction performance with regard to effectiveness, stability and controllability. To illustrate its feasibility, a biochemical framework grounded in this mechanism is presented to determine the winner of a tic-tac-toe game. Our results highlight the potential for DNA strand displacement cascades to act as signal controllers and event triggers to endow molecular systems with the capability of controlling and detecting events and signals.

Determination of Transfer Function of Controlled Object by Characteristic of Closed-Loop Control with Feedback

2008 ◽  
Vol 3 (3) ◽  
pp. 104-113
Author(s):  
Maxim I. Bryzgunov ◽  
Anatoliy D. Goncharov ◽  
Vladimir B. Reva ◽  
Dmitriy N. Skorobogatov
Keyword(s):  
Transfer Function ◽  
Linear Model ◽  
Input Signal ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
Controlled Object

The method for determination on transfer function of a system by its response to well-known input signal is proposed. The possibility of determination of transfer function of controlled object by transfer function of closed-loop control without disconnection of feedback is shown experimentally. The method for reduction of order of linear model of transfer function is proposed.

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