Strong stability of a class of difference equations of continuous time and structured singular value problem

Abstract This article studies the strong stability of scalar difference equations of continuous time in which the delays are sums of a number of independent parameters τ i , i = 1 , 2 , … , K . The characteristic quasipolynomial of such an equation is a multilinear function of e − τ i s . It is known that the characteristic quasipolynomial of any difference equation set in the form of one-delay-per-scalar-channel (ODPSC) model is also in such a multilinear form. However, it is shown in this article that some multilinear forms of quasipolynomials are not characteristic quasipolynomials of any ODPSC difference equation set. The equivalence between local strong stability, the exponential stability of a fixed set of rationally independent delays, and the stability for all positive delays is shown, and relations with the structured singular value problem are presented. A procedure to determine strong stability in the special case of up to three independent delay parameters in finite steps is developed. This procedure means that the structured singular value problem in the case of up to three scalar complex uncertain blocks can be solved in finite steps.

[1]  William R. Melvin Stability properties of functional difference equations , 1974 .

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

[3]  Qing-Chang Zhong,et al.  On distributed delay in linear control Laws-part I: discrete-delay implementations , 2004, IEEE Transactions on Automatic Control.

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

[5]  Zalman J. Palmor,et al.  Stability properties of Smith dead-time compensator controllers , 1980 .

[6]  Leonid Mirkin,et al.  On the approximation of distributed-delay control laws , 2004, Syst. Control. Lett..

[7]  Pierdomenico Pepe,et al.  The Liapunov's second method for continuous time difference equations , 2003 .

[8]  Leonid Shaikhet,et al.  Lyapunov Functionals and Stability of Stochastic Difference Equations , 2011 .

[9]  Mohammad Naghnaeian,et al.  Stability crossing set for systems with three scalar delay channels , 2013, Autom..

[10]  G. Stein,et al.  Performance and robustness analysis for structured uncertainty , 1982, 1982 21st IEEE Conference on Decision and Control.

[11]  Keqin Gu,et al.  Stability crossing set for systems with three scalar delay channels , 2014 .

[12]  Jack K. Hale,et al.  Strong stabilization of neutral functional differential equations , 2002 .

[13]  Wim Michiels,et al.  The Effect of Approximating Distributed Delay Control Laws on Stability , 2004 .

[14]  Qian Ma,et al.  Further results on the strong stability of difference equations of continuous time , 2017 .

[15]  Keqin Gu,et al.  A Review of Some Subtleties of Practical Relevance , 2012 .

[16]  Sabine Mondié,et al.  Approximation of control laws with distributed delays: a necessary condition for stability , 2001, Kybernetika.

[17]  Jack K. Hale,et al.  On the zeros of exponential polynomials , 1980 .

[18]  Daniel B. Henry,et al.  Linear autonomous neutral functional differential equations , 1974 .

[19]  Jack K. Hale,et al.  Introduction to Functional Differential Equations , 1993, Applied Mathematical Sciences.

[20]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.