Self-tuning and convergence of parameter estimates in minimum variance tracking and linear model following Conference Paper

abstract

• Recently an algorithm for minimum variance control of ARMAX systems has been proved to be self-tuning for the regulation problem. This is a central question of fundamental interest since it implies that the adaptive controller can be used as a mechanism for tuning to the parameters of an optimal control law. The authors examine the problem of self-tuning trackers, for which the self-tuning property can be proved.

name of conference

• 1986 25th IEEE Conference on Decision and Control

authors

• Kumar, Panganamala

published proceedings

• 1986 25th IEEE Conference on Decision and Control

author list (cited authors)

• Kumar, P. R., & Praly, L.

citation count

• 3

complete list of authors

• Kumar, PR||Praly, L

publication date

• December 1986

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Conference on Decision and Control  Journal

Digital Object Identifier (DOI)

• 10.1109/cdc.1986.267321

start page

• 1903

end page

• 1905

URL

• http://dx.doi.org/10.1109/cdc.1986.267321