Name
Title | ||
|---|---|---|
Simultaneous input and state estimation for stochastic nonlinear systems with additive unknown inputs |
Abstract | ||
|---|---|---|
This paper investigates simultaneous input and state estimation for a class of nonlinear stochastic systems. We propose a recursive filter to concurrently estimate system states and unknown inputs. We show that the estimation errors of the proposed filter are Practically Exponentially Stable in probability, and the estimation error covariance matrices are uniformly bounded. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.automatica.2019.108588 | Automatica |
Keywords | Field | DocType |
Nonlinear systems,Stochastic systems,State estimation,Input estimation,Filtering algorithm | Nonlinear system,Control theory,Matrix (mathematics),Uniform boundedness,Exponential stability,Recursive filter,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
111 | 1 | 0005-1098 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hunmin Kim | 1 | 0 | 0.34 |
| Pinyao Guo | 2 | 24 | 4.66 |
| Minghui Zhu | 3 | 44 | 12.11 |
| P. Liu | 4 | 378 | 41.58 |