This paper extends to the discrete-time case some robust stability conditions, recently obtained for continuous-time systems. Those conditions are expressed in terms of Linear Matrix Inequalities (LMI), being thus simply and eciently computable. As in the continuous-time case, parameter-dependent Ly
LMI characterization of structural and robust stability
✍ Scribed by JoséC. Geromel; Maurício C. de Oliveira; Liu Hsu
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 728 KB
- Volume
- 285
- Category
- Article
- ISSN
- 0024-3795
No coin nor oath required. For personal study only.
✦ Synopsis
This paper introduces several stability conditions for a given class of matrices expressed in terms of Linear Matrix Inequalities (LMI), being thus simply and efficiently computable. Diagonal and simultaneous stability, both characterized by polytopes of matrices, are addressed. Using this approach a method particularly attractive to test a given matrix for D-stability is proposed. Lyapunov parameter dependent functions are built in order to reduce conservativeness of the stability conditions. The key idea is to relate Hurwitz stability with a positive realness condition.
📜 SIMILAR VOLUMES
A su$cient LMI condition is proposed for checking robust stability of a polytope of polynomial matrices. It hinges upon two recent results: a new approach to polynomial matrix stability analysis and a new robust stability condition for convex polytopic uncertainty. Numerical experiments illustrate t
We consider a linear system subject to Markovian jumps, with a time-varying, unknown-but-bounded transition probability matrix. We derive LMI conditions ensuring various second-moment stability properties for the system. The approach is then used to generate mode-dependent state-feedback control law
In this work robust stability is revisited. Multiplier theory is used to generate LMI tests for robust stability of linear time-invariant systems subject to real parametric uncertainty. Although only the real parametric case is studied in this paper, we claim that these results can be generalized to