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Model reference adaptive control with unknown high-frequency gain

机译:模型参考自适应控制,具有未知的高频增益

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An indirect model reference adaptive control for minimum-phase linear systems of arbitrary order with unknown high-frequency gain is presented. It is proved that the (modified) estimate of the high-frequency gain has a uniform positive lower bound. The problem has been solved by using the least squares covariance matrix properties to define an appropriate modification of the parameter estimates. The proposed algorithm requires neither signal normalization nor the definition of an augmented error.
机译:呈现了具有未知高频增益的任意相位线性系统的间接模型参考自适应控制。 事实证明,高频增益的(修改)估计具有均匀的正极下限。 通过使用最小二乘协方差矩阵属性来定义对参数估计的适当修改来解决问题。 所提出的算法既不需要信号归一化,也不需要定义增强错误。

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