Parameter convergence in the stochastic gradient adaptive control law

Sheng-Fuu Lin; P. R. Kumar

doi:10.1109/CDC.1988.194513

Parameter convergence in the stochastic gradient adaptive control law

Sheng-Fuu Lin^*, P. R. Kumar

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English
Article number	194513
Pages (from-to)	1211-1212
Number of pages	2
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/CDC.1988.194513
State	Published - 7 Dec 1988
Event	Proceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA Duration: 7 Dec 1988 → 9 Dec 1988

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title = "Parameter convergence in the stochastic gradient adaptive control law",

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).",

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AU - Kumar, P. R.

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N2 - 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).

AB - 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).

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M3 - Conference article

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JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

SN - 0191-2216

M1 - 194513

Y2 - 7 December 1988 through 9 December 1988

ER -

Parameter convergence in the stochastic gradient adaptive control law

Abstract

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