On generalization of classical Hurwitz stability criteria for matrix polynomials (Q2199773)

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On generalization of classical Hurwitz stability criteria for matrix polynomials
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    On generalization of classical Hurwitz stability criteria for matrix polynomials (English)
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    14 September 2020
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    In this paper, the authors associate a class of Hurwitz matrix polynomials with Stieltjes positive definite matrix sequences. They consider a high-order differential system of the form: \[A_{0}y^{n}(t)+A_{1}y^{n-1}(t)+...+A_{n}y(t)=u(t),\] where \(A_{0},...,A_{n}\) are complex matrices, \(y(t)\) is the output vector and \(u(t)\) denotes the control input vector. The asymptotic stability of such a system is determined by the Hurwitz stability of its characteristic matrix polynomial such as \[F(z)=A_{0}z^{n}+A_{1}z^{n-1}+...+A_{n}.\] In Section 1, a detailed and comprehensive literature review about the topic of the paper with some basic results are given. In Section 2, two questions arise here that will be answered in Section 4.Those questions are related to the extension of the stability criterion via Markov parameters and Stieltjes continued fractions. It turns out that to give a proper extension of the stability criterion via Markov parameters for all complex/real matrix polynomials seems to be impossible. In Section 3, to calculate the number of zeros that a matrix polynomial has in different parts of the complex plane, an inertia representation for matrix polynomials in terms of the matricial Markov parameters is derived. Concerning these, two lemmas and a theorem are given. The main results are provided in Section 4. The authors deal with a relationship between Hurwitz matrix polynomials and an important type of matricial Stieltjes moment sequences. This leads to matricial extensions of the stability criteria via Markov parameters and continued fractions to a special class of matrix polynomials. Further conditions for Hurwitz stability are obtained in terms of Hankel minors and Hankel quasiminors which are built from matricial Markov parameters. The block-Hankel total positivity is not generally guaranteed for Hurwitz matrix polynomials. In this section, six theorems are proved and three examples regarding the research results are given for the illustration.
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    Hurwitz stability
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    Stieltjes moment problem
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    Markov parameters
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    Hankel matrices
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    total positivity
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    quasideterminants
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