Generalized eigenvalue-based stability tests for 2-D linear systems: Necessary and sufficient conditions

This paper studies the stability of 2-D dynamic systems. We consider systems characterized by 2-D polynomials and 2-D state-space descriptions. For each description, we derive necessary and sufficient stability conditions, which all require only the computation of a constant matrix pencil. The stability of the underlying system can then be determined by inspecting the generalized eigenvalues of the matrix pencil. The results consequently yield 2-D stability tests that can be checked both efficiently and with high precision. Additionally, frequency-sweeping tests are also obtained which complement the matrix-pencil tests and are likely to be more advantageous analytically.

[1]  Bruce A. Francis,et al.  Optimal Sampled-Data Control Systems , 1996, Communications and Control Engineering Series.

[2]  R. Saeks,et al.  Multivariable Nyquist theory , 1977 .

[3]  Tomomichi Hagiwara,et al.  Exact Stability Analysis of 2-D Systems Using LMIs , 2006, IEEE Transactions on Automatic Control.

[4]  D. D. Perlmutter,et al.  Stability of time‐delay systems , 1972 .

[5]  Stephen P. Boyd,et al.  Subharmonic functions and performance bounds on linear time-invariant feedback systems , 1984, IEEE Conference on Decision and Control.

[6]  C. Nett,et al.  A new method for computing delay margins for stability of linear delay systems , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[7]  J. Chiasson,et al.  A simplified derivation of the Zeheb-Walach 2-D stability test with applications to time-delay systems , 1985, The 23rd IEEE Conference on Decision and Control.

[8]  Spyros G. Tzafestas,et al.  Multidimensional Systems: Techniques and Applications , 1986 .

[9]  C. Foias,et al.  The commutant lifting approach to interpolation problems , 1990 .

[10]  Alexander Graham,et al.  Kronecker Products and Matrix Calculus: With Applications , 1981 .

[11]  G. Marchesini,et al.  Stability analysis of 2-D systems , 1980 .

[12]  Zhiping Lin,et al.  Further Improvements on Bose’s 2D Stability Test , 2004 .

[13]  P. A. Cook Stability of two-dimensional feedback systems , 2000 .

[14]  T. Ooba On stability analysis of 2-D systems based on 2-D Lyapunov matrix inequalities , 2000 .

[15]  Jie Chen,et al.  Control-oriented system identification : an H[infinity] approach , 2000 .

[16]  Hugo J. Woerdeman,et al.  Two-variable polynomials: intersecting zeros and stability , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[17]  Tatsushi Ooba,et al.  On Stability Robustness of 2-D Systems Described by the Fornasini–Marchesini Model , 2001, Multidimens. Syst. Signal Process..

[18]  Yuval Bistritz,et al.  Testing stability of 2-D discrete systems by a set of real 1-D stability tests , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[19]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[20]  Yuval Bistritz,et al.  Stability Testing of Two-Dimensional Discrete-Time Systems by a Scattering-Type Stability Table and Its Telepolation , 2002, Multidimens. Syst. Signal Process..

[21]  N. Bose Applied multidimensional systems theory , 1982 .

[22]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .