A Note on Recursive Schur Complements, Block Hurwitz Stability of Metzler Matrices, and Related Results

It is known that the stability of a Metzler matrix can be characterized in a Routh–Hurwitz-like fashion based on a recursive application of scalar Schur complements [1]. Our objective in this brief note is to show that recently obtained stability conditions are equivalent statements of this result and can be deduced directly therefrom using only elementary results from linear algebra. Implications of this equivalence are also discussed and several examples are given to illustrate potentially interesting system-theoretic applications of this observation.

[1]  Robert Shorten,et al.  Classical Results on the Stability of Linear Time-Invariant Systems, and the Schwarz Form , 2014, IEEE Transactions on Automatic Control.

[2]  Takashi Tanaka,et al.  The Bounded Real Lemma for Internally Positive Systems and H-Infinity Structured Static State Feedback , 2011, IEEE Transactions on Automatic Control.

[3]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[4]  S. Rinaldi,et al.  Positive Linear Systems: Theory and Applications , 2000 .

[5]  F. Tadeo,et al.  Controller Synthesis for Positive Linear Systems With Bounded Controls , 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.

[6]  E. Haynsworth,et al.  An identity for the Schur complement of a matrix , 1969 .

[7]  W. Haddad,et al.  Stability and dissipativity theory for nonnegative dynamical systems: a unified analysis framework for biological and physiological systems , 2005 .

[8]  Sean P. Meyn Control Techniques for Complex Networks: Workload , 2007 .

[9]  Patrizio Colaneri,et al.  Discretisation of sparse linear systems: An optimisation approach , 2015, Syst. Control. Lett..

[10]  Corentin Briat,et al.  Sign properties of Metzler matrices with applications , 2015, ArXiv.

[11]  Petar V. Kokotovic,et al.  Singular perturbations and order reduction in control theory - An overview , 1975, Autom..

[12]  Ettore Fornasini,et al.  Linear Copositive Lyapunov Functions for Continuous-Time Positive Switched Systems , 2010, IEEE Transactions on Automatic Control.

[13]  Dragoslav D. Siljak,et al.  Control of large-scale systems: Beyond decentralized feedback , 2004, Annu. Rev. Control..

[14]  Robert J. Plemmons,et al.  Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.

[15]  Franco Blanchini,et al.  Co-Positive Lyapunov Functions for the Stabilization of Positive Switched Systems , 2012, IEEE Transactions on Automatic Control.

[16]  M. Fragoso,et al.  Continuous-Time Markov Jump Linear Systems , 2012 .

[17]  Eduardo D. Sontag,et al.  Molecular Systems Biology and Control , 2005, Eur. J. Control.

[18]  Dimitri Peaucelle,et al.  LMI approach to linear positive system analysis and synthesis , 2014, Syst. Control. Lett..

[19]  Mihaela-Hanako Matcovschi,et al.  Max-type copositive Lyapunov functions for switching positive linear systems , 2014, Autom..

[20]  D. E. Crabtree,et al.  CHARACTERISTIC ROOTS OF M-MATRICES , 1966 .

[21]  Robert Shorten,et al.  Hurwitz Stability of Metzler Matrices , 2010, IEEE Transactions on Automatic Control.

[22]  P. Parks A new proof of the Routh-Hurwitz stability criterion using the second method of Liapunov , 1962, Mathematical Proceedings of the Cambridge Philosophical Society.

[23]  K. Narendra,et al.  On a theorem of Redheffer concerning diagonal stability , 2009 .

[24]  Josef Hofbauer,et al.  Evolutionary Games and Population Dynamics , 1998 .

[25]  Dimitri Peaucelle,et al.  Analysis and Synthesis of Interconnected Positive Systems , 2017, IEEE Transactions on Automatic Control.

[26]  Charles R. Johnson Sufficient conditions for D-stability , 1974 .

[27]  Dimitri Peaucelle,et al.  L1 gain analysis of linear positive systems and its application , 2011, IEEE Conference on Decision and Control and European Control Conference.

[28]  Patrizio Colaneri,et al.  Stochastic stability of Positive Markov Jump Linear Systems , 2014, Autom..