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The Hankel Matrix Solution to a System of Quaternion Matrix Equations

机译:四元数矩阵方程组的Hankel矩阵解

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The solution of matrix equations and the optimal approximation problem play an important role in linear optimal control, parameter identification, structural vibration, aviation and other fields. Hankel matrix is kind of matrix with special structure and wide application. In this paper, the problem of Hankel constraint solution to the system [AXB CXD]=[E F] over quaternion field is discussed. By using the representation of vectors of a Hankel matrix and Kronecker product of matrices, a constrained problem will be transformed into an unconstrained equation. Then the necessary and sufficient conditions for the equations with Hankel solution as well as the expression of general solution are obtained. Meanwhile, when the solution set is nonempty, by using invariance of Frobenius norm of orthogonal matrix product, the optimal approximation solution with minimal Frobenius norm for a given Hankel matrix is derived. Finally, two numerical examples is provided to verify the algorism.
机译:矩阵方程的解和最优逼近问题在线性最优控制,参数识别,结构振动,航空等领域中发挥着重要作用。汉克尔矩阵是一种结构特殊,应用广泛的矩阵。本文讨论了四元数域上系统[AXB CXD] = [E F]的Hankel约束解问题。通过使用汉克尔矩阵和矩阵的Kronecker乘积的向量表示,将约束问题转换为无约束方程。然后获得了用汉克尔方程解方程的充要条件和一般解的表达式。同时,当解集为非空时,利用正交矩阵乘积的Frobenius范数不变性,得出给定Hankel矩阵的Frobenius范数最小的最优逼近解。最后,提供了两个数值示例来验证算法。

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