Name
Abstract | ||
|---|---|---|
In this paper, we consider the identification of matrix state-space models (MSSM) of the following form: X(k + 1) = A2X(k)A1T + B2U(k)B1T Y(k) = C2X(k)C1T + E(k) for all time dependent quantities and matrices of appropriate dimensions. Due to the large size of these matrices, vectorization does not allow the use of standard multivariable subspace methods such as N4SID or MOESP. In this paper, the ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TAC.2018.2835380 | IEEE Transactions on Automatic Control |
Keywords | Field | DocType |
Mathematical model,State-space methods,Two dimensional displays,Matrix decomposition,Computational modeling,Adaptive optics,Indexes | Kronecker delta,Mathematical optimization,Combinatorics,State sequence,Subspace topology,Tensor,Matrix (mathematics),Matrix decomposition,Vectorization (mathematics),Mathematics,Bilinear interpolation | Journal |
Volume | Issue | ISSN |
64 | 3 | 0018-9286 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baptiste Sinquin | 1 | 3 | 0.74 |
| Michel Verhaegen | 2 | 1074 | 140.85 |