Accession Number : AD0766920
Title : Identification and Control of Linear Stochastic Systems Using Spline Functions.
Descriptive Note : Technical rept.,
Corporate Author : TEXAS UNIV AUSTIN ELECTRONICS RESEARCH CENTER
Personal Author(s) : Deshpande,Jayant G. ; Lainiotis,Demetrios G.
Report Date : 01 MAY 1973
Pagination or Media Count : 218
Abstract : The report discusses parameter identification and adaptive control of linear plants excited by white, Gaussian noise, the linear observations being made in the presence of additive white, Gaussian noise. The Bayesian approach is taken throughout this study. As this approach leads to identification and control schemes which cannot be implemented exactly, the spline functions are used to approximate these schemes very closely. These approximations are studied in detail and their performance is demonstrated by means of several examples.
Descriptors : (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), LINEAR SYSTEMS, STOCHASTIC PROCESSES, IDENTIFICATION SYSTEMS, APPROXIMATION(MATHEMATICS), CURVE FITTING, GRAPHICS, ALGORITHMS
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE