Accession Number : AD0852296
Title : An Instrumental Variable Method for Real-Time Identification of a Noisy Process.
Descriptive Note : Technical publication,
Corporate Author : NAVAL WEAPONS CENTER CHINA LAKE CA
Personal Author(s) : Young, Peter C.
Report Date : NOV 1968
Pagination or Media Count : 28
Abstract : The problem of real-time process parameter estimation from normal operating data has received considerable attention in recent years. The various techniques developed range from largely deterministic procedures to sophisticated statistical methods based on the results of optimal estimation theory. The instrumental variable technique outlined in this paper is intended as a compromise between these two extremes; it has a basis in classical statistical estimation theory, but does not require a priori information on the signal and noise statistics. The paper describes the approach to the problem and outlines the development of the simple digital recursive estimation algorithm. It also discusses how the choice of input signal and the form of the mathematical model can affect the identifiability of a process. Finally, a number of representative experimental results are included to demonstrate the practical feasibility of this particular approach to process identification. (Author)
Descriptors : *INFORMATION THEORY), (*CONTROL SYSTEMS, REAL TIME, NOISE(RADIO), STATISTICAL ANALYSIS, IDENTIFICATION, STOCHASTIC PROCESSES, ALGORITHMS, MATHEMATICAL MODELS, LEAST SQUARES METHOD.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE