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Maksimov, V.I. & Pandolfi, L. (2001). Robust identification of parasitic feedback disturbances for linear lumped parameter systems. International Journal of Applied Mathematics and Computer Science 11 (4) 101-124.
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Robust identification of parasitic feedback disturbances for linear lumped parameter systems.pdf - Published Version Available under License Creative Commons Attribution. Download (198kB) | Preview |
Abstract
We study the problem of identification of an input to a linear finite-dimensional system. We assume that the input has a feedback form, which is related to a problem often encountered in fault detection. The method we use is to embed the identification problem in a class of inverse problems of dynamics for controlled systems. Two algorithms for identification of a feedback matrix based on the method of feedback control with a model are constructed. These algorithms are stable with respect to noise-corrupted observations and computational errors.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Input identification; Feedback control; Fault detection |
| Research Programs: | Dynamic Systems (DYN) |
| Depositing User: | IIASA Import |
| Date Deposited: | 15 Jan 2016 02:13 |
| Last Modified: | 27 Aug 2021 17:37 |
| URI: | https://pure.iiasa.ac.at/6343 |
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