2010
DOI: 10.3166/ejc.16.401-406
|View full text |Cite
|
Sign up to set email alerts
|

Passivity and Structure Preserving Order Reduction of Linear Port-Hamiltonian Systems Using Krylov Subspaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
42
0
1

Year Published

2010
2010
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 52 publications
(43 citation statements)
references
References 14 publications
0
42
0
1
Order By: Relevance
“…al. [14] presents a new scheme for model reduction of linear port-Hamiltonian systems with dissipation using Krylov subspaces. The scheme preserves the port-Hamiltonian structure and passivity property.…”
Section: Discussion On: "Passivity and Structure Preserving Order Redmentioning
confidence: 99%
See 1 more Smart Citation
“…al. [14] presents a new scheme for model reduction of linear port-Hamiltonian systems with dissipation using Krylov subspaces. The scheme preserves the port-Hamiltonian structure and passivity property.…”
Section: Discussion On: "Passivity and Structure Preserving Order Redmentioning
confidence: 99%
“…One of the attractive advantages of the method in the paper by Wolf et.al. [14], as compared to that of [9], is that there is no need for a computationally expensive coordinate transformation. Indeed, in general it is cheaper to compute the inverse of the reduced order matrix V T QV than to transform a full order matrix Q to the identity matrix.…”
Section: Thus If Qmentioning
confidence: 99%
“…A structure-preserving model order reduction approach for LTI port-Hamiltonian systems using Krylov-subspaces was presented in [2] and is briefly summarized in the following:…”
Section: Systems In Standard Port-hamiltonian Formmentioning
confidence: 99%
“…The order is considered to be large. Let the reduced system be E rẋr ( ) = A r x r ( ) + B r u( ) y r ( ) = C r x r ( ) (2) with model order ≪ , x r ∈ ℝ , E r , A r ∈ ℝ × , B r ∈ ℝ × and C r ∈ ℝ × .…”
Section: Order Reduction By Moment Matching and Krylov Subspacesmentioning
confidence: 99%
See 1 more Smart Citation