Stability Test of 2-D Face of an Interval Matrix 1.0

The program can test the stability of 2-D face of an interval matrix.Copyright (C) Yang XIAO, Beijing Jiaotong University, Aug.2, 2007, E-Mail: yxiao@bjtu.edu.cn.By relying on a two-dimensional (2-D) face test, Ref [1,2] obtained a necessary and sufficient condition for the robust Hurwitz and Schur stability of interval matrices. Ref [1,2] revealed that it is impossible that there are some isolated unstable points in the parameter space of the matrix family, so the stability of exposed 2-D faces of an interval matrix guarantees stability of the matrix family. This program provides the examples to demonstrate the applicability of the robust stability test of interval matrices in Ref [1, 2].Remarks:(1) The 2-D face of an interval matrix is Hurwitz stable, if and only if the maximum real part of the eigenvalues of the 2-D face of the interval matrix is smaller than 0 [1].(2) An interval matrix is Hurwitz stable, if and only if all the 2-D faces of the interval matrix is Hurwitz stable.(3) The 2-D face of an interval matrix is Schur stable, if and only if the maximum absolute of the eigenvalues of all the 2-D faces of the interval matrix is smaller than 1 [1].(4) An interval matrix is Schur stable, if and only if all the 2-D face of the interval matrix is Schur stable.(5) To determine the stability of interval matrix, needs to test all the 2-D faces of matrices.Ref:[1] Yang Xiao; Unbehauen, R., Robust Hurwitz and Schur stability test for interval matrices, Proceedings of the 39th IEEE Conference on Decision and Control, 2000. Volume 5, Page(s):4209 d-deOCt 4214[2] XIAO Yang, Stability Analysis of Multidimensional Systems, Shanghai Science and Technology Press, Shanghai, 2003.The paper [1] can be downloaded from Web site of IEEE Explore.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Absolute,  Demonstrate,  Determine,  Eigenvalues,  Examples,  Proceedings,  Robust,  Smaller,  Unbehauen
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