Convex characterization of robust stability analysis and control synthesis for positive linear systems

We present necessary and sufficient conditions for robust stability of positive systems. In particular we show that for such systems the structured singular value is equal to its convex upper bound and thus it can be computed efficiently. Using this property, we show that the problem of finding a structured static state feedback controller achieving internal stability, contractiveness, and internal positivity in closed loop remains convex and tractable even in the presence of uncertainty.

[1]  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.

[2]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[3]  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.

[4]  Anders Rantzer,et al.  Distributed control of positive systems , 2011, IEEE Conference on Decision and Control and European Control Conference.

[5]  Farid Alizadeh,et al.  Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization , 1995, SIAM J. Optim..

[6]  Luca Benvenuti,et al.  A tutorial on the positive realization problem , 2004, IEEE Transactions on Automatic Control.

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

[8]  Andrew Packard,et al.  The complex structured singular value , 1993, Autom..

[9]  Corentin Briat,et al.  Robust stability and stabilization of uncertain linear positive systems via integral linear constraints: L1‐gain and L∞‐gain characterization , 2012, ArXiv.

[10]  Masakazu Kojima,et al.  Exact Solutions of Some Nonconvex Quadratic Optimization Problems via SDP and SOCP Relaxations , 2003, Comput. Optim. Appl..

[11]  Takashi Tanaka,et al.  DC-dominant property of cone-preserving transfer functions , 2013, Syst. Control. Lett..

[12]  Fernando Paganini,et al.  A Course in Robust Control Theory , 2000 .

[13]  John C. Doyle Analysis of Feedback Systems with Structured Uncertainty , 1982 .

[14]  Anders Rantzer,et al.  On the Kalman-Yakubovich-Popov Lemma for Positive Systems , 2012, IEEE Transactions on Automatic Control.

[15]  D. Hinrichsen,et al.  Robust Stability of positive continuous time systems , 1996 .

[16]  M. Safonov Stability margins of diagonally perturbed multivariable feedback systems , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[17]  Takashi Tanaka,et al.  Symmetric Formulation of the S-Procedure, Kalman–Yakubovich–Popov Lemma and Their Exact Losslessness Conditions , 2013, IEEE Transactions on Automatic Control.