Robust Finite-Time Parameter Estimation for Linear Dynamical Systems

Ryan S. Johnson, Adnane Saoud, R. Sanfelice
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Abstract

We consider the problem of estimating a constant or piecewise constant vector of unknown parameters for a linear dynamical system. Using a hybrid systems framework, a hybrid algorithm that achieves finite-time convergence of the parameter estimate to the true value is proposed. Sufficient conditions that guarantee convergence of the parameter estimate are provided. Robustness of the proposed algorithm with respect to measurements noise is analyzed, and examples are provided showing the merits of the proposed approach.
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线性动力系统的鲁棒有限时间参数估计
考虑线性动力系统中未知参数的常矢量或分段常矢量的估计问题。在混合系统框架下,提出了一种参数估计收敛于真值有限时间的混合算法。给出了保证参数估计收敛的充分条件。分析了该算法对测量噪声的鲁棒性,并用实例说明了该方法的优点。
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