随机梯度自适应控制律的参数收敛性

Proceedings of the 27th IEEE Conference on Decision and Control Pub Date : 1988-12-07 DOI:10.1109/CDC.1988.194513

Sheng-Fuu Lin, P. kumar

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引用次数: 2

摘要

本文给出了G.C. Godwin、P.J. Ramadge和P.E. Caines (SIAM J. control Optim)提出的自适应控制律的自整定结果。第19卷，没有。6，第829-53页，1981年)。他们还展示了如何在参考轨迹具有低阶激励的情况下降低自适应控制律的维数。结果与P.R. Kumar和L. Praly (SIAM J. control Optim)提出的自适应控制律进行了比较。第25卷，no。4, p.1053-71, 1987)。

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Parameter convergence in the stochastic gradient adaptive control law

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, p.829-53, 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, p.1053-71, 1987).<>

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Proceedings of the 27th IEEE Conference on Decision and Control

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