Name
Title | ||
|---|---|---|
Developments Towards Formalizing A Benchmark For Continuous-Time Model Identification |
Abstract | ||
|---|---|---|
The identification of continuous-time models of dynamical systems based on sampled measurements of input and output signals is a research topic that has received much attention during the past decades. However, a framework for the correct assessment of the performance of various estimation methods, as well as their numerical reliability, is still missing due to a number of benchmarking difficulties, equally applicable to both discrete-and continuous-time identification problems. This paper revisits this topic, reports new numerical results, highlights several fundamental aspects regarding the definition of an appropriate benchmark for the evaluation of continuous-time linear model identification algorithms and discusses several means of addressing the related existing problems. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | Data mining,Data modeling,Mathematical optimization,MATLAB,Industrial engineering,Linear model,Computer science,Input/output,Transfer function,Dynamical systems theory,Benchmark (computing),Benchmarking |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Pascu | 1 | 0 | 0.68 |
| Hugues Garnier | 2 | 183 | 20.78 |
| Lennart Ljung | 3 | 1993 | 270.89 |
| Alexandre Janot | 4 | 86 | 12.37 |