Name
Abstract | ||
|---|---|---|
This paper describes a novel approach to the problem of model order reduction (MOR) of very large nonlinear systems. We consider the behavior of a dynamic nonlinear system as having two fundamental characteristics: a global behavioral "envelope" that describes major transformations to the state of the system under external stimuli and a local behavior that describes small perturbation responses. The nonlinear low order envelope function is generated by using the remainders from the coalescence of projection bases taken through a space-state sample. A behavioral model can then be expressed as the superposition of these two descriptions, operating according to the input stimuli and the current state value. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/DATE.2006.244138 | DATE |
Keywords | Field | DocType |
nonlinear network synthesis,perturbation techniques,reduced order systems,linear projections,nonlinear model order reduction,nonlinear systems,perturbation responses,remainder functions,space-state sample | Superposition principle,Mathematical optimization,Nonlinear system,Model order reduction,Envelope (waves),Computer science,Parallel computing,Behavioral modeling,Remainder,Algorithm,Projection (linear algebra),Recursion | Conference |
Volume | ISSN | ISBN |
1 | 1530-1591 | 3-9810801-0-6 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose A. Martinez | 1 | 4 | 1.54 |
| Steven P. Levitan | 2 | 288 | 60.98 |
| Donald M. Chiarulli | 3 | 213 | 24.91 |