Title :
Adaptive curve fitting and suboptimization
Author :
Chang, Sheldon S L
Author_Institution :
State University of New York, Stony Brook, NY, USA
fDate :
12/1/1968 12:00:00 AM
Abstract :
Two closely related problems 1) adaptive curve fitting and 2) suboptimization can be solved by using the generalized maximum principle. A given curve is approximated by a sequence of arcs in such a way that the duration covered by an arc is automatically shortened at places where the curve is more curly. For the suboptimization problem, a discrete version of the Euler-Lagrange equation is obtained.
Keywords :
Curve fitting; Suboptimal control; Automatic control; Control systems; Curve fitting; Equations; Gaussian noise; MONOS devices; Nonlinear systems; Piecewise linear approximation; Probability density function; Signal generators;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1968.1099039