On robust stability of polynomials with polynomial parameter dependency: solTwothree parameter cases
โ Scribed by D. Kaesbauer
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 227 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
AImrad--We consider real polynomials whose coefficients depend polynomially on the elements of an uncertain parameter vector. The size of perturbation is characterized by the weighted norm of the parameter vector. The smallest destabilizing perturbation defines the stability radius of the set of uncertain polynomials.
It is shown that determining this radius is equivalent to solving a finite set of systems of algebraic equations and picking out the real solution with the smallest norm. The number of systems of equations depends crucially on the dimension of the parameter vector, whereas the complexity of systems of equations increases mainly with the kind of polynomial dependency and the degree of the polynomial. This method also yields the smallest destabilizing parameter combination and the corresponding critical frequency. For two or three parameters this transformed problem can be solved using symbolic and numeric computations. *
๐ SIMILAR VOLUMES
In this paper, we describe the application of a new version of Barnett's method to the squarefree decomposition of a univariate polynomial with coefficients in K[x], x being a parameter and K a characteristic zero field. This new version of Barnett's method uses Bezoutian matrices instead of matrice
Al~a~et--Let a real polynomial in a complex variable, whose coefficients are any given continuous functions of two real interval parameters, be given. Necessary and sufficient conditions are derived for the polynomial to have all its zeros outside (or inside) the unit circle of the complex variable