Identification of state models using principal components analysis
โ Scribed by M.K. Hartnett; G. Lightbody; G.W. Irwin
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 280 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
โฆ Synopsis
A predictive state-space dynamic plant is identified using a two-stage approach based on principal components analysis.
ลฝ . The procedure is applied to a simulated benchmark problem known as the overheads condensor reflux drum OCRD model, a non-linear multivariable plant with mixed dynamics. The identified model is validated against an independent test set and its step and frequency responses compared with a linearised analytical model of the OCRD.
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