随机梯度标识符直接预测自适应控制

L. Giarré, E. Mosca
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引用次数: 0

摘要

多步多变量自适应调节器是一种直接预测自适应控制器。具体来说,在该控制器中考虑用随机梯度(SG)标识符替换递归最小二乘(RLS)标识符。通过常微分方程分析,研究了该算法的局部收敛性。各种仿真结果支持的结论是,与一步前进自整定调节器的情况相反,用SG代替RLS会使所得到的自适应控制器的收敛性能恶化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direct predictive adaptive control with stochastic gradient identifiers
The multistep multivariable adaptive regulator, which is a direct predictive adaptive controller, is considered. Specifically, the replacement of recursive least squares (RLS) identifiers with stochastic gradient (SG) identifiers in that controller is considered. By an ordinary differential equation analysis, local convergence properties of the algorithm are investigated. The conclusions, supported by various simulation results, are that, in contrast to the case of the one-step-ahead self-tuning regulator, replacement of RLS with SG deteriorates the convergence properties of the resulting adaptive controller.<>
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