Name
Abstract | ||
|---|---|---|
This paper addresses parameter and state estimation problem in the presence of perturbation on observer gain for the Lipschitz systems that are linear in unknown parameters and nonlinear in states. A nonlinear adaptive resilient observer is designed, and its stability conditions based on Lyapunov technique are derived. The gain for this observer is derived systematically using linear matrix inequality approach. A numerical example is provided in which the nonlinear terms depend on unmeasured states. The simulation results are presented to show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CCA.2009.5281018 | 2009 IEEE CONTROL APPLICATIONS CCA & INTELLIGENT CONTROL (ISIC), VOLS 1-3 |
Keywords | Field | DocType |
linear matrix inequality,control systems,adaptive systems,parameter estimation,nonlinear systems,robustness,data mining,nonlinear system,stability | State observer,Lyapunov function,Nonlinear system,Computer science,Control theory,Adaptive system,Stability conditions,Control engineering,Lipschitz continuity,Observer (quantum physics),Linear matrix inequality | Conference |
ISSN | Citations | PageRank |
1085-1992 | 0 | 0.34 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahdi Pourgholi | 1 | 12 | 3.64 |
| Vahid Johari Majd | 2 | 154 | 15.51 |