Discussion on: “Parameter-Dependent Lyapunov Function Approach to Stability Analysis and Design for Uncertain Systems with Time-Varying Delay”

From the paper by Cao and Xue that combines several techniques for contributing to LMI methods for uncertain time-delay systems, we choose to discuss the use of the so-called ”slack variables”. This technique has been extensively used these last six years since [9] and has proved to be quite useful. Among papers related to this technique we may point out those that clarify the involved mechanisms. In [13] the additional variables are proved to be related to the elimination lemma technique which is a corollary of the Finsler lemma. In [3] the additional variables are seen as Lagrange multipliers. In [5] they are obtained as a special case of parameterdependent multipliers involved in a new robust stability condition. In [11] they are proved to define a virtual system with identical properties as the one tested. In [8] they are proved to be multipliers involved in the generalized S-procedure. All these results help the comprehension of the technique and are good guides for possible extensions. Without anticipating the extensions, the discussion will concentrate on two limitations of the ”slack variables” technique as they appear to us currently.

[1]  P. Apkarian,et al.  Mixed H2/H∞ multi-channel linear parameter-varying control in discrete time , 2000 .

[2]  E. Fridman,et al.  A Projection Approach to H∞ Control of Time-Delay Systems , 2004 .

[3]  C. Scherer,et al.  New robust stability and performance conditions based on parameter dependent multipliers , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[4]  Tomomichi Hagiwara,et al.  ROBUST D-STABILITY ANALYSIS OF UNCERTAIN POLYNOMIAL MATRICES VIA POLYNOMIAL-TYPE MULTIPLIERS , 2005 .

[5]  Denis Arzelier,et al.  Robust Stabilization of Matrix Polytopes withthe Cone Complementarity LinearizationAlgorithm : Numerical , 2007 .

[6]  Anke Xue,et al.  On LMI robust D-stability condition for real convex polytopic uncertainty , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[7]  Liu Hsu,et al.  LMI characterization of structural and robust stability , 1998 .

[8]  Y. Ebihara,et al.  Robust controller synthesis with parameter-dependent Lyapunov variables: a dilated LMI approach , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[9]  J. Bernussou,et al.  A new robust D-stability condition for real convex polytopic uncertainty , 2000 .

[10]  Dimitri Peaucelle,et al.  Positive polynomial matrices and improved LMI robustness conditions , 2003, Autom..

[11]  Dimitri Peaucelle Formulation générique de problèmes en analyse et commande robuste par les fonctions de Lyapunov dependant des paramètres , 2000 .

[12]  Robert E. Skelton,et al.  Stability tests for constrained linear systems , 2001 .

[13]  Y. Ebihara,et al.  New dilated LMI characterizations for continuous-time control design and robust multiobjective control , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[14]  Dimitri Peaucelle,et al.  Robust D stabilization of a polytope of matrices , 2002 .

[15]  J. Geromel,et al.  A new discrete-time robust stability condition , 1999 .