Title :
Multiparameter self-optimizing systems using correlation techniques
Author :
Narendra, K.S. ; McBride, L.E.
Author_Institution :
Harvard University, Cambridge, MA, USA
fDate :
1/1/1964 12:00:00 AM
Abstract :
A class of self-optimizing systems which continually alter their parameters to reduce a mean-square performance criterion is described. The change in each parameter is determined from an error gradient in parameter space computed by cross-correlation methods which are independent of signal spectra and require no test signal or parameter perturbation. Applications of this technique to both open-loop and closed-loop systems are included and it is shown that a combination of such self-optimizing systems is a possible solution to the adaptive control problem. Computer simulation results are included to demonstrate the practicality of the proposed systems.
Keywords :
Adaptive systems; Optimal control; Adaptive control; Application software; Automatic control; Computer simulation; Differential equations; Error correction; Linear systems; Signal design; Testing; Weight control;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1964.1105638