Name
Title | ||
|---|---|---|
Fast nonlinear model order reduction via associated transforms of high-order Volterra transfer functions |
Abstract | ||
|---|---|---|
We present a new and fast way of computing the projection matrices serving high-order Volterra transfer functions in the context of (weakly and strongly) nonlinear model order reduction. The novelty is to perform, for the first time, the association of multivariate (Laplace) variables in high-order multiple-input multiple-output (MIMO) transfer functions to generate the standard single-s transfer functions. The consequence is obvious: instead of finding projection subspaces about every si, only that about a singles is required. This translates into drastic saving in computation and memory, and much more compact reduced-order nonlinear models, without compromising any accuracy. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2228360.2228415 | DAC |
Keywords | Field | DocType |
nonlinear system,multivariate laplace variables,high-order multiple-input multiple-output,laplace equations,model order reduction (mor),high-order volterra transfer function,fast nonlinear model order reduction,drastic saving,standard single-s transfer functions,volterra equations,transfer functions,matrix algebra,nonlinear systems,associated transforms,compact reduced-order nonlinear model,projection matrices,association of variables,projection subspaces,nonlinear model order reduction,analog/rf circuits,high order volterra transfer functions,standard single-s transfer function,high order multiple-input multiple-output transfer functions,mimo systems,mimo,solid modeling,computational modeling,read only memory,transfer function | Read-only memory,Nonlinear system,Laplace transform,Computer science,Matrix (mathematics),MIMO,Linear subspace,Electronic engineering,Transfer function,Computation | Conference |
ISSN | ISBN | Citations |
0738-100X | 978-1-4503-1199-1 | 4 |
PageRank | References | Authors |
0.56 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Zhang | 1 | 189 | 43.34 |
| Haotian Liu | 2 | 27 | 5.88 |
| Qing Wang | 3 | 17 | 2.75 |
| Neric Fong | 4 | 25 | 3.42 |
| Ngai Wong | 5 | 321 | 58.74 |