- Title
- Parametric Continuous-Time Blind System Identification
- Creator
- Elton, Augustus; González, Rodrigo A.; Welsh, James S.; Rojas, Cristian R.; Fu, Minyue
- Relation
- 2023 62nd IEEE Conference on Decision and Control (CDC). Proceedings of the 62nd IEEE Conference on Decision and Control (CDC) (Singapore, Singapore 13-15 December, 2023) p. 1474-1479
- Publisher Link
- http://dx.doi.org/10.1109/CDC49753.2023.10383961
- Publisher
- Institute of Electrical and Electronic Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2023
- Description
- In this paper, the blind system identification problem for continuous-time systems is considered. A direct continuous-time estimator is proposed by utilising a state-variable-filter least squares approach. In the proposed method, coupled terms between the numerator polynomial of the system and input parameters appear in the parameter vector which are subsequently separated using a rank-1 approximation. An algorithm is then provided for the direct identification of a single-input single-output linear time-invariant continuous-time system which is shown to satisfy the property of correctness under some mild conditions. Monte Carlo simulations demonstrate the performance of the algorithm and verify that a model and input signal can be estimated to a proportion of their true values.
- Subject
- linear systems; Monte Carlo methods; estimation; approximation algorithms
- Identifier
- http://hdl.handle.net/1959.13/1503237
- Identifier
- uon:55306
- Identifier
- ISBN:9798350301250
- Identifier
- ISSN:0743-1546
- Language
- eng
- Reviewed
- Hits: 82
- Visitors: 80
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|