Fuzzy bounded least-squares method for the identification of linear systems
β Scribed by Zeng, X.-J.; Singh, M.G.
- Book ID
- 117873881
- Publisher
- IEEE
- Year
- 1997
- Tongue
- English
- Weight
- 565 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1083-4427
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π SIMILAR VOLUMES
In this paper, a modified least-squares method is proposed to treat the problem of identifying closed-loop systems in the presence of coloured noises. Using the information obtained by the standard least-squares (LS) method, some linear equality constraints of the estimated parameters are derived fo
Al~trad--The least squares parametric system identification algorithm is analyzed assuming that the noise is a bounded signal. A bound on the worst-case parameter estimation error is derived. This bound shows that the worst-case parameter estimation error decreases to zero as the bound on the noise