On the lower smoothing bound in identification of time-varying systems
✍ Scribed by Maciej Niedźwiecki
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 196 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Noncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothing is based on both past and future data, it offers increased accuracy compared to causal (tracking) estimation schemes, incorporating past data only. It is shown
## We convert the closed-loop identification of nonlinear time-varying plants, with high signal-to-noise ratio, to an open-loop identification problem of an associated Youla-Kucera parameter. The plant must be stabilizable by a known linear, possibly time-varying controller.
A novel procedure is developed for the identi"cation of linear discrete models of dynamical systems from noisy data. Of particular interest is the application of the methodology to time-varying systems. The procedure is based on a representation of the governing di!erential equations with respect to
## Abstract A Steiner quadruple system of order 2^__n__^ is __Semi‐Boolean__ (SBQS(2^__n__^) in short) if all its derived triple systems are isomorphic to the point‐line design associated with the projective geometry __PG__(__n__−1, 2). We prove by means of explicit constructions that for any __n__