Results 251 to 260 of about 2,551,252 (290)
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Schur stability of interval polynomials
IEEE Transactions on Automatic Control, 1993Summary: We present a result for checking the Schur stability of interval polynomials. In particular, we are interested in the number of critical vertex and edge polynomials that are sufficient for inferring robust Schur stability.
Yung Kuan Foo, Yeng Chai Soh
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Computing, 1972
Stability Polynomials characterize the propagation behaviour of the error vectors associated with the numerical solution of differential equations. It is desirable that these polynomials extend as far as possible along the negativex-axis in a strip of width 2.
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Stability Polynomials characterize the propagation behaviour of the error vectors associated with the numerical solution of differential equations. It is desirable that these polynomials extend as far as possible along the negativex-axis in a strip of width 2.
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Stability of polynomials with conic uncertainty
Mathematics of Control, Signals, and Systems, 1995The stability of polynomials with conic uncertainty is analysed, i.e., a convex cone of directions is known a priori within which the coefficient vector of the nominal polynomial is being perturbed. This corresponds to dropping the requirement in previous work that the convex set be absorbing, i.e., the convex set does not have to contain the origin ...
Diederich Hinrichsen +1 more
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Stability criteria of matrix polynomials
International Journal of Control, 2018ABSTRACTIn this paper, the stability of matrix polynomials is investigated. First, upper and lower bounds are derived for the eigenvalues of a matrix polynomial.
Guangda Hu, Xiulin Hu
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Numerical stabilization of polynomial and matrix
IMA Journal of Mathematical Control and Information, 2006In this paper, the conception of numerical stabilization, which is related to mantissa digits of computer and dimensions of system, is described; and several strategies for the numerical stabilization of polynomial and matrix are presented.
J. D. Han, Z. Jiang, Yiyong Nie
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On the Optimum Criterion of Polynomial Stability
IMA Journal of Mathematical Control and Information, 1988The purpose of this note is to answer the question raised by \textit{Y. Nie} and \textit{X. Xie} [ibid. 4, No.1, 1-12 (1987; Zbl 0665.93013)]. Let \(f(x)=a_ 0x^ n+a_ 1x^{n-1}+...+a_ n\) be a positive-coefficient polynomial. The numbers \(\alpha_ 1=a_{i-1}a_{i+2}/a_ ia_{i+1}\) \((i=1,...,n-2)\) are called determining coefficients.
Xie, Lang, Xie, Lin
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On Schur stability for families of polynomials
Journal of the Franklin InstitutezbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guillermo Oaxaca-Adams +2 more
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Stability of polynomial matrices
IEEE Transactions on Automatic Control, 1987A necessary and sufficient condition for the stability of a polynomial matrix in terms of the eigenvalues of a composite matrix is presented. The theorem is significant from the viewpoint of applicability, since standard computer code is available for this test.
Wang, Qing-Guo +2 more
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Stability of matrix polynomials†
International Journal of Control, 1977Abstract The paper considers the following question : Given a square, non-singular polynomial matrix C(s)how do we check, without evaluating the determinant, whether all the zeros of det C(s) are in the open left-half plane ? The approach used to answer this question is to derive from c(s) a rational transfer function matrix which is lossless positive ...
BRIAN D. O. ANDERSON, ROBERT R. BITMEAD
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A Structural Approach to Robust Stability of Polynomials
1990 American Control Conference, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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