Accession Number : AD0688194
Title : ADAPTIVE NONLINEAR MODELING WITH QUANTIZERS.
Descriptive Note : Annual progress rept. 15 Jun 68-14 Jun 69,
Corporate Author : BELL AEROSYSTEMS CO BUFFALO N Y
Personal Author(s) : Powell,Frederic D.
Report Date : 06 JUN 1969
Pagination or Media Count : 60
Abstract : Identification of the dynamics of a nonlinear plant was studied using the combination of a generalized, or equation-error, modeler with multilevel quantizing for piecewise-linear modeling. Algorithms for adapting the quantizing boundary locations and the modeling weights are derived. Conditions are established which allow converting a 'least mean square' error-correcting training algorithm for the modeling weights to a modified forced-learning algorithm which converges as rapidly as the signal statistics permit. Experimental results indicate that this type of modeler converges more rapidly than the ordinary types of nonlinear modelers, and to a more accurate solution. (Author)
Descriptors : (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), NONLINEAR SYSTEMS, INFORMATION THEORY, LEAST SQUARES METHOD, TRANSFER FUNCTIONS, ALGORITHMS
Subject Categories : Statistics and Probability
Test Facilities, Equipment and Methods
Distribution Statement : APPROVED FOR PUBLIC RELEASE