On Existence for Polynomial-Like Iterative Equations

2004 ◽  
Vol 45 (1-2) ◽  
pp. 185-194 ◽  
Author(s):  
Weinian Zhang
Keyword(s):  
Iterative Equations

Lipschitzian solutions to linear iterative equations

2016 ◽  
Vol 89 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Karol Baron ◽  
Janusz Morawiec
Keyword(s):  
Iterative Equations ◽  
Lipschitzian Solutions

scholarly journals A general class of iterative equations on the unit circle

2007 ◽  
Vol 57 (3) ◽  
pp. 809-829 ◽  
Author(s):  
Marek C. Zdun ◽  
Weinian Zhang
Keyword(s):  
Unit Circle ◽  
General Class ◽  
Iterative Equations

scholarly journals Theoretical aspects of evaluation breathability clothing for determining heat balance of the human body

2013 ◽  
pp. 179-195
Author(s):  
Sergiy Kovalchuk
Keyword(s):  
Hydraulic Resistance ◽  
Human Body ◽  
Heat Balance ◽  
Aerodynamic Drag ◽  
Mutual Influence ◽  
Annular Channel ◽  
Estimation Algorithm ◽  
Accurate Method ◽  
Bioclimatic Index ◽  
Iterative Equations

At the moment, there is no accurate method of determining the thermal balance of the human body, especially given breathability clothing. The main objective is to provide estimation algorithm air flow in the annular channel induced aerodynamic drag force. The developed method is based on the determination of the hydraulic resistance wall clothes and description of the appropriate non-linear effects in the annular channel using iterative equations. Total hydraulic resistance of the wall apparel determined by computing the local hydraulic resistance based on their mutual influence and resistance layers of fabric with the bellhop or staggered placement of layers. Key words: hydraulic resistance, bioclimatic index, breathability clothing, the iterative equation, the heat balance of the human body.

Altering Spectrum Method in Temperature Measurement Using Infrared Imager in Complex Background Environment

2012 ◽  
Vol 479-481 ◽  
pp. 348-351 ◽  
Author(s):  
Zhen Yang ◽  
Shi Cheng Zhang ◽  
Li Yang
Keyword(s):  
Temperature Measurement ◽  
Background Radiation ◽  
High Accuracy ◽  
Measured Object ◽  
Spectrum Method ◽  
Complex Background ◽  
Infrared Imager ◽  
Iterative Equations ◽  
Infrared Temperature Measurement ◽  
Simulation Results

To improve the accuracy of temperature measurement using infrared imager in complex background environment, based on the principles and the formulas of temperature measurement using infrared imager, altering spectrum method in the infrared temperature measurement was derived. For the temperature measurement of gray body in complex background environment, three response bands should be selected in temperature measurement, and then the surface temperature could be obtained by solving responding two iterative equations. This method could be achieved technologically by two means: setting filters in front of infrared imager, or using infrared imagers with different bands. The simulation results show that the temperature of measured object could be obtained with high accuracy through the method, and its error is very small. Through this method, the temperature of measured object could be obtained without knowing its emissivity and background radiation, so the error caused by the measurement of the emissivity of measured object and background radiation could be reduced.

A General Solution for Linear, Sampled-Data Control

1963 ◽  
Vol 85 (2) ◽  
pp. 197-201 ◽  
Author(s):  
T. L. Gunckel ◽  
Gene F. Franklin
Keyword(s):  
Design Procedure ◽  
Quadratic Function ◽  
Random Parameter ◽  
Linear Feedback ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Iterative Equations ◽  
Almost All ◽  
Parameter Problem

If system performance can be adequately measured by a quadratic function of the error, it is possible to present a single optimum design procedure that encompasses almost all linear, sampled-data control problems of interest. This development includes both random and deterministic inputs, the random parameter problem, and a general time-varying system. The results are in the form of iterative equations which specify the optimum linear feedback coefficients. The method constitutes a generalization of the work by Kalman, Koepcke, Bellman, and others, and presumes the availability of a digital computer to solve the final equations.

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