Title :
On the improvement of the adaptation behaviour of recursive parameter estimation algorithms through nonlinear, dynamic pre-control
Author_Institution :
DIEHL GmbH & Co., Rothenbach/Pegnitz, West Germany
Abstract :
A method is introduced for improving the tracking or identification behaviour of recursive parameter estimation algorithms. The method utilizes available, measured information from the process or information which acts on the process. The information is processed by a nonlinear, dynamic precontrol algorithm. Measurement updates are transformed into approximate parameter updates that are used as reference values in the classical estimation algorithm. Aircraft control has been chosen as an application example, and 6-degree-of-freedom simulation results are excellent
Keywords :
adaptive systems; parameter estimation; 6-degree-of-freedom simulation results; adaptation behaviour improvement; aircraft control; approximate parameter updates; dynamic pre-control; nonlinear pre-control; recursive parameter estimation algorithms; tracking; Aircraft; Control systems; Covariance matrix; Error correction; Legged locomotion; Optimal control; Parameter estimation; Resonance light scattering; Sensor systems; Vectors;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194586