Linear system theory (2nd ed.)
Linear system theory (2nd ed.)
Matrix computations (3rd ed.)
Convergent algorithms for frequency weighted L2 model reduction
Systems & Control Letters
A new reduced-order adaptive filter for state estimation in high-dimensional systems
Automatica (Journal of IFAC)
On the design of a stable adaptive filter for state estimation in high dimensional systems
Automatica (Journal of IFAC)
| Hi-index | 22.14 |
The stability of a reduced-order filter (ROF), the gain of which is constructed on the basis of a subspace of dominant singular vectors of the system dynamics, is examined. A definition of s-detectability is introduced. It is found that the observability of all unstable and neutral singular vectors (s-detectability) is a sufficient condition for the existence of a stable filter.