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
LMI characterization of structural and robust stability: the discrete-time case
β Scribed by M.C. de Oliveira; J.C. Geromel; Liu Hsu
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 115 KB
- Volume
- 296
- Category
- Article
- ISSN
- 0024-3795
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β¦ Synopsis
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 Lyapunov functions can be constructed and, consequently, the new approach can yield much sharper and less conservative results than the simultaneous stability approach. In particular, well-known stability problems, namely, D-stability and robust stability in the presence of diagonally structured uncertainty can be more eciently addressed. Numerical examples are included to illustrate the advantages of the new stability conditions.
π SIMILAR VOLUMES
In this paper, a less conservative condition for the robust stability of uncertain discrete-time linear systems is proposed. The uncertain parameters, assumed to be time-invariant, are supposed to belong to convex bounded domains (polytope type uncertainty). The stability condition is formulated in
## Abstract The robust stability of discrete singular systems with timeβvarying delay is considered. New delayβdependent stability criteria are proposed, which are dependent on the minimum and maximum delay bounds. A strict delayβdependent linear matrix inequality (LMI) condition is obtained for a