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Canonical factorization for generalized positive real transfer functions

机译:广义正实传递函数的规范分解

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We prove that given any square multi-input multi-output generalized positive real transfer function matrix, M(s), with minimal state space realization of order n, there always exist two square transfer function matrices, M/sub 1/(s) and M/sub 2/(s), with state space realizations of order n/sub 1/ and n/sub 2/ respectively, with M/sub 1/(s), M/sub 2/(-s) bounded and invertible over the closed right half complex plane, such that M(s)=M/sub 2/(s)M/sub 1/(s), and n=n/sub 1/+n/sub 2/. The existence of such a factorization, commonly termed a canonical factorization, is important in absolute and robust stability results for diagonal LTI parametric uncertainty, which require multi-input multi-output non-causal positive real multipliers. Explicit state space formulae are presented for the canonical factors in terms of a stabilizing solution to a generalized Riccati equation, which is shown to always exist.
机译:我们证明给定任何平方多输入多输出广义正实传递函数矩阵M(s),且状态空间实现的阶次最小,始终存在两个平方传递函数矩阵M / sub 1 /(s)和M / sub 2 /(s),分别具有n / sub 1 /和n / sub 2 /阶的状态空间实现,M / sub 1 /(s),M / sub 2 /(-s)有界,在闭合的右半复平面上可逆,因此M(s)= M / sub 2 /(s)M / sub 1 /(s),而n = n / sub 1 / + n / sub 2 /。这种对因分解的存在(通常称为规范因式分解)在对角LTI参数不确定性的绝对和鲁棒稳定性结果中很重要,因为对角LTI参数不确定性需要多输入多输出非因果正实乘数。根据规范化的Riccati方程的稳定解,给出​​了规范因子的显式状态空间公式,该方程被证明一直存在。

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