Subspace Identification With Guaranteed Stability Using Constrained Optimization
- Lacy, Seth L.
- Bernstein, Dennis S.
DOIAbstract
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57870/1/LacyStableIDTAC2003.pd
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57870/1/LacyStableIDTAC2003.pd
For subspace identification methods with eigenvalue constraints, the constraints are enforced by me...
Paradoxically, even if stability (with its many facets) is the key concept in control, including sys...
Subspace identification is a classical and very well studied problem in system identification. The p...
Abstract—In system identification, the true system is often known to be stable. However, due to fini...
Identification of linear systems, a priori known to be stable, from input output measurements corrup...
In subspace methods for linear system identi cation, the system matrices are usually estimated by le...
In subspace methods for system identification, the system matrices are usually estimated by least sq...
In this paper, a unified identification framework called constrained subspace method for structured ...
In this paper, we consider the identification of linear systems, a priori known to be stable, from i...
In this article, a unified identification framework called constrained subspace method for structure...
The extensive use of a least-squares problem formulation in many fields is partly motivated by the e...
The problem of identifying linear parameter-varying (LPV) systems, a-priori known to be quadraticall...
In this paper, we consider the identification of linear systems, a priori known to be stable, from ...
Abstract: Subspace identification is a classical and very well studied problem in system identificat...
Abstract: Subspace identification is a classical and very well studied problem in system identificat...
For subspace identification methods with eigenvalue constraints, the constraints are enforced by me...
Paradoxically, even if stability (with its many facets) is the key concept in control, including sys...
Subspace identification is a classical and very well studied problem in system identification. The p...
Abstract—In system identification, the true system is often known to be stable. However, due to fini...
Identification of linear systems, a priori known to be stable, from input output measurements corrup...
In subspace methods for linear system identi cation, the system matrices are usually estimated by le...
In subspace methods for system identification, the system matrices are usually estimated by least sq...
In this paper, a unified identification framework called constrained subspace method for structured ...
In this paper, we consider the identification of linear systems, a priori known to be stable, from i...
In this article, a unified identification framework called constrained subspace method for structure...
The extensive use of a least-squares problem formulation in many fields is partly motivated by the e...
The problem of identifying linear parameter-varying (LPV) systems, a-priori known to be quadraticall...
In this paper, we consider the identification of linear systems, a priori known to be stable, from ...
Abstract: Subspace identification is a classical and very well studied problem in system identificat...
Abstract: Subspace identification is a classical and very well studied problem in system identificat...
For subspace identification methods with eigenvalue constraints, the constraints are enforced by me...
Paradoxically, even if stability (with its many facets) is the key concept in control, including sys...
Subspace identification is a classical and very well studied problem in system identification. The p...
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