Parameter convergence in the stochastic gradient adaptive control law

Sheng-Fuu Lin*, P. R. Kumar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The authors exhibit self-tuning results for the adaptive control law proposed by G.C. Godwin, P.J. Ramadge and P.E. Caines (SIAM J. Control Optim., vol. 19, no. 6, pp. 829-853, 1981). They also show how the dimension of the adaptive control law can be reduced in situations where the reference trajectory has a low order of excitation. The results are compared with an adaptive control law proposed by P.R. Kumar and L. Praly (SIAM J. Control Optim., vol. 25, no. 4, pp. 1053-1071, 1987).

Original languageEnglish
Article number194513
Pages (from-to)1211-1212
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
DOIs
StatePublished - 7 Dec 1988
EventProceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA
Duration: 7 Dec 19889 Dec 1988

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