Abstract

The paper considers the class of matrix polytopes with a dominant vertex and the class of uncertain dynamical systems defined in discrete time and continuous time, respectively, by such polytopes. We analyze the standard concept of stability in the sense of Schur—abbreviated as SS (resp., Hurwitz—abbreviated as HS), and we develop a general framework for the investigation of the diagonal stability relative to an arbitrary Hölderp-norm,1≤p≤∞, abbreviated asSDSp(resp.,HDSp). Our framework incorporates, as the particular case withp=2, the known condition of quadratic stability satisfied by a diagonal positive-definite matrix, i.e.SDS2(resp.,HDS2) means that the standard inequality of Stein (resp., Lyapunov) associated with all matrices of the polytope has a common diagonal solution. For the considered class of matrix polytopes, we prove the equivalence between SS andSDSp(resp., HS andHDSp),1≤p≤∞(fact which is not true for matrix polytopes with arbitrary structures). We show that the dominant vertex provides all the information needed for testing these stability properties and for computing the corresponding robustness indices. From the dynamical point of view, if an uncertain system is defined by a polytope with a dominant vertex, then the standard asymptotic stability ensures supplementary properties for the state-space trajectories, which refer to special types of Lyapunov functions and contractive invariant sets (characterized through vectorp-norms weighted by diagonal positive-definite matrices). The applicability of the main results is illustrated by two numerical examples that cover both discrete- and continuous-time cases for the class of uncertain dynamics studied in our paper.

Highlights

  • IntroductionK=1 k=1 where {A1, A2, . . . , AK} is a finite set of real n × n matrices. The Schur (resp., Hurwitz) stability—abbreviated as SS (resp., HS)—has been investigated for matrix polytope (1) starting with the 80s, by papers 4such as [1,2,3,4,5,6,7,8,9,10,11,12,13]

  • Is called the Stein-type inequality relative to the p-norm associated with matrix A; matrix Q is said to be a solution to this inequality. (b) Matrix Q is said to be a solution to the Stein-type inequality relative to the p-norm associated with the polytope A if the following condition is fulfilled:

  • Is called the Lyapunov-type inequality relative to the p-norm associated with matrix A; matrix Q is said to be a solution to this inequality. (b) Matrix Q is said to be a solution to the Lyapunov-type inequality relative to the p-norm associated with the polytope A if the following condition is fulfilled:

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Summary

Introduction

K=1 k=1 where {A1, A2, . . . , AK} is a finite set of real n × n matrices. The Schur (resp., Hurwitz) stability—abbreviated as SS (resp., HS)—has been investigated for matrix polytope (1) starting with the 80s, by papers 4such as [1,2,3,4,5,6,7,8,9,10,11,12,13]. Diagonal stability ensured a visible research potential for systems and control engineering, mainly related to the simpler form of the Lyapunov function candidates, as outlined by works such as [27,28,29, 31,32,33,34,35] These works use the same terminology “diagonal stability” in the sense of a system property that is induced by the original matrix property discussed in the previous paragraphs. Throughout the text we shall write “X (resp., Y)” wherever “X” and “Y” are referred to in parallel

Results on Matrix Polytopes
Preliminaries
Stability Analysis
Particular Case of Interval Matrices with a Dominant
Results on Polytopic Systems
Illustrative Examples
Conclusions
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