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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhou, Chang Li, Keyi Zhou, Gongjian |
| Abstract | The problem of state estimation with a destination constraint using the noisy prior information of the destination is investigated. With the utilisation of constraint information in estimation system, the estimation accuracy can be significantly enhanced. A projection-based constrained state estimation method is proposed to address this problem. In this method, the unscented Kalman filter is employed to obtain the unconstrained estimation. The Taylor series expansion is adopted to deal with the non-linearity of the destination constraint and the projection method is used to project the unconstraint estimate onto the constraint surface. Monte Carlo simulation results are presented to illustrate the effectiveness of the new approach. |
| Starting Page | 8180 |
| Ending Page | 8184 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 21, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0728 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-08-22 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Constraint Information Constraint Surface Destination Constraint Estimation Accuracy Estimation System Filtering Method in Signal Processing Kalman Filter Monte Carlo Method Noisy Destination Noisy Prior Information Nonlinear Filter Probability Theory Projection Method Projection-based State Estimation Signal Processing Theory State Estimation State Estimation Method Statistics Stochastic Linearised SCUC Taylor Series Expansion Unconstrained Estimation Unconstraint Estimate Unscented Kalman Filter |
| Content Type | Text |
| Resource Type | Article |
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