@inproceedings{531ab997c2ac4ca5aaa090898db8bf1e,

title = "Matrix pencil and matrix measure methods for robust stability in real parameter spaces",

abstract = "The authors report on a study of robust stability in a real parameter space for robot polynomial type spaces and matrix type spaces. Using the Sylvester resultant matrix or the Kronecker sum the robust stability question can be converted into a generalized eigenvalue problem of a matrix pencil. Some sufficient and necessary conditions are given. The admissible perturbation set is also defined. This set can be found via a generalized eigenvalue computation. A method is proposed to compute a polytope to approximate a maximal admissible perturbation set via a matrix measure. Some results can be extended to the discrete-time case.",

author = "M. Wang and Lee, {E. B.} and D. Boley",

note = "Copyright: Copyright 2004 Elsevier B.V., All rights reserved.; Proceedings of the 30th IEEE Conference on Decision and Control Part 1 (of 3) ; Conference date: 11-12-1991 Through 13-12-1991",

year = "1992",

month = jan,

language = "English (US)",

isbn = "0780304500",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Publ by IEEE",

pages = "411--415",

booktitle = "Proceedings of the IEEE Conference on Decision and Control",

}