Title :
Statistical design and analysis of multiply-instrumented control systems
Author :
Stewart, Robert M.
Author_Institution :
California Institute of Technology, Pasadena, CA, USA
fDate :
11/1/1957 12:00:00 AM
Abstract :
It is the purpose of this paper to show how Wiener´s linear least-square filter theory may be applied to some common types of multiply-instrumented control systems. By multiply-instrumented control systems are meant those in which more than one sensing instrument is used.
Keywords :
Control system analysis; Control systems; Distortion measurement; Error correction; Filtering theory; Frequency; Instruments; Nonlinear filters; Servomechanisms; Transfer functions;
Journal_Title :
Automatic Control, IRE Transactions on
DOI :
10.1109/TAC.1957.1104784