Name
Title | ||
|---|---|---|
Event-based state estimation of linear dynamic systems with unknown exogenous inputs. |
Abstract | ||
|---|---|---|
In this work, an event-based optimal state estimation problem for linear-time varying systems with unknown inputs is investigated. By treating the unknown input as a process with a non-informative prior, the event-based minimum mean square error (MMSE) estimator is obtained in a recursive form. It is shown that for the general time-varying case, the closed-loop matrix of the optimal event-based estimator is exponentially stable and the estimation error covariance matrix is asymptotically bounded for each sample path of the event-triggering process. The results are also extended to the multiple sensor scenario, where each sensor is allowed to have its own event-triggering condition. The efficiency of the proposed results is illustrated by a numerical example and comparative simulation with the MMSE estimators obtained based on time-triggered measurements. The results are potentially applicable to event-based secure state estimation of cyber-physical systems. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.automatica.2016.02.031 | Automatica |
Keywords | Field | DocType |
Event-based state estimation,Unknown exogenous inputs,Optimal filtering | Secure state,Control theory,Matrix (mathematics),Minimum mean square error,Exponential stability,Covariance matrix,Dynamical system,Mathematics,Bounded function,Estimator | Journal |
Volume | Issue | ISSN |
69 | C | 0005-1098 |
Citations | PageRank | References |
18 | 0.69 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dawei Shi | 1 | 312 | 26.03 |
| Tongwen Chen | 2 | 4435 | 304.47 |
| Mohamed Darouach | 3 | 261 | 42.82 |