Patent №
US 6,732,129
Granted
—
Owner
—
Lab
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AI components
2
ml · planning
Assignment
None on record
Dataset
AIPD
2023_r1 edition
Application
09678668
The rate of convergence of an adaptive system is optimized as a function of the stability with which it converges to a desired state. In the adaptive technique according to the invention, for optimal convergence, a large adaptive coefficient value is used in stable regions with relatively smaller noise, while a smaller adaptive coefficient is used in unstable or noisy environments. Also when the solution has been reached &mgr; is decreased to decrease the effects of noise and the residual error. Various algorithms are used to evaluate the stability with which the system converges and to select a corresponding adaptive coefficient. The method and apparatus according to the invention provides an optimum rate of convergence based on the overall stability of the system, while minimizing the residual error.