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Guardian maps and the generalized stability of parametrized families of matrices and polynomials
Author(s) -
Lahcen Saydy,
André L. Tits,
Eyad H. Abed
Publication year - 1990
Publication title -
mathematics of control signals and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.856
H-Index - 39
eISSN - 1435-568X
pISSN - 0932-4194
DOI - 10.1007/bf02551375
Subject(s) - mathematics , eigenvalues and eigenvectors , complex plane , polynomial matrix , characteristic polynomial , polynomial , scalar (mathematics) , pure mathematics , hurwitz matrix , stability (learning theory) , matrix (chemical analysis) , matrix polynomial , mathematical analysis , geometry , computer science , machine learning , parametric statistics , statistics , physics , materials science , quantum mechanics , composite material
The generalized stability of families of real matrices and polynomials is considered. (Generalized stability is meant in the usual sense of confinement of matrix eigenvalues or polynomial zeros to a prescribed domain in the complex plane, and includes Hurwitz and Schur stability as special cases.) Guardian maps and semiguardian maps are introduced as a unifying tool for the study of this problem. These are scalar maps which vanish when their matrix or polynomial argument loses stability. Such maps are exhibited for a wide variety of cases of interest corresponding to generalized stability with respect to domains of the complex plane. In the case of one- and two-parameter families of matrices or polynomials, concise necessary and sufficient conditions for generalized stability are derived. For the general multiparameter case, the problem is transformed into one of checking that a given map is nonzero for the allowed parameter values.

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