Title :
New results on the separation of matrix eigenvalues and the clustering of matrix elements
Author_Institution :
Inst. Autom. i Robotyki, Politech. Warszawskiej, Poland
fDate :
4/1/1997 12:00:00 AM
Abstract :
The problem of separation of matrix eigenvalues is considered in this paper. Necessary and sufficient conditions are given for a matrix to have all eigenvalues contained in an open set defined on the complex plane by a separable polynomial γ(z1, z2). The problem of clustering of matrix elements is also considered. In this case, a set of matrices is identified, having all eigenvalues in a given subset of the complex plane. The presented results can be useful in both robust stability analysis and the design of control systems
Keywords :
control system analysis; control system synthesis; eigenvalues and eigenfunctions; matrix algebra; robust control; control system design; matrix eigenvalue separation; matrix element clustering; necessary and sufficient conditions; robust stability analysis; separable polynomial; Control systems; Eigenvalues and eigenfunctions; Linear systems; Lyapunov method; Polynomials; Robotics and automation; Robust stability; Stability analysis; Sufficient conditions;
Journal_Title :
Automatic Control, IEEE Transactions on