Open AccessDynamic Parameter Design Method and Application under a General Linear Relationship between Response Variables and Signal Factors
Author(s) -
Lanting Yu,
Yueyi Zhang,
Hong Zhu,
Ting Mei
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/4/042031
Subject(s) - computer science , process (computing) , signal (programming language) , function (biology) , estimation theory , control theory (sociology) , mathematical optimization , mathematics , algorithm , artificial intelligence , control (management) , evolutionary biology , biology , programming language , operating system
In dynamic parameter design, there is often a different functional relationship between response variables and signal factors. SNR is an important tool for the parameter design of dynamic characteristics, and its estimation results change with the change of function relationships. This paper describes the dynamic parameter design method in a linear relationship between response variables and signal factors, and provides a case for verification. The results of this study are applicable to engineers and academics who need to conduct product design, process development and process optimization through dynamic parameter design.