Name
Abstract | ||
|---|---|---|
In this work, a novel procedure for identifying the parameters of a polynomial systems is introduced. In order to get a regression form of the system, and to avoid the necessity of time-derivatives of input/output signals, the modulating function method is applied. In contrast to other available techniques for achieving estimates in finite-time, the real-time inversion of square matrices is not required. Instead, a nonlinear gradient algorithm is used to let the estimate converge in fixed-time. This procedure allows a continuous and recursive update of the parameter estimates and avoids the computational burdens of inversion-based estimation schemes. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | Convergence (routing),Differential equation,Mathematical optimization,Nonlinear system,Polynomial,Control theory,Inversion (meteorology),Computer science,Square matrix,Estimation theory,Recursion |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matti Noack | 1 | 0 | 0.34 |
| Juan G. Rueda-Escobedo | 2 | 14 | 4.96 |
| Johann Reger | 3 | 40 | 17.29 |
| Jaime A. Moreno | 4 | 771 | 70.62 |