Robustness of extended least squares based adaptive control Conference Paper

abstract

• The authors show that the popular extended least-squares-based one-step ahead adaptive tracking algorithm is robust to both the presence of small unmodeled dynamics and violation of the stochasticity assumption on the noise. Specifically, the noise is allowed to be any bounded sequence. The only modification used is a projection of the parameter estimates. The adaptive control algorithm is a weighted extended least-squares type noninterlaced adaptation law with projection. Assuming the nominal plant to be minimum-phase, without the small unmodeled dynamics, it is proved that all the signals in the closed-loop system are uniformly bounded.

name of conference

• [1991] Proceedings of the 30th IEEE Conference on Decision and Control

authors

• Kumar, Panganamala

published proceedings

• [1991] Proceedings of the 30th IEEE Conference on Decision and Control

author list (cited authors)

• Naik, S. M., & Kumar, P. R.

citation count

• 0

complete list of authors

• Naik, SM||Kumar, PR

publication date

• January 1991

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.1991.261412

International Standard Book Number (ISBN) 10

• 0780304500

start page

• 754-759 vol.1

end page

• 759

URL

• http://dx.doi.org/10.1109/cdc.1991.261412