Time variable gram matrix eigenproblem and its application to optimal identification of continuous systems

W. Byrski, S. Fuksa
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引用次数: 5

Abstract

In the paper the new idea of the calculation of eigenvalues and eigenvectors for time dependent matrix G(t) is presented. This algorithm is based on the solution of some nonlinear differential equation which is fulfilled on eigenvectors Q(t) of matrix G(t) and it is faster than classical methods for eigenproblem solution. The solution has some properties of local stability especially for the states near the minimal eigenvector. Hence it can be used in on-line application (for each t). The application of this algorithm to solution of optimal parameter identification of continuous SISO systems is also pointed. (is presented).
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时变克矩阵特征问题及其在连续系统最优辨识中的应用
本文提出了时变矩阵G(t)特征值和特征向量计算的新思路。该算法基于求解矩阵G(t)的特征向量Q(t)上的非线性微分方程,比经典的特征问题求解方法更快。该解具有局部稳定性,特别是对于最小特征向量附近的状态。并指出了该算法在求解连续SISO系统最优参数辨识问题中的应用。(提出)。
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