Suboptimal Algorithms for Worst Case Identification in H∞ and Model Validation
Document Type
Article
Publication Date
1-1-1994
Abstract
New algorithms based on convex programming are proposed for worst case system identification. The algorithms are optimal within a factor of two asymptotically. Further, model validation, or data consistency, is embedded in the identification process. Explicit worst case identification error bounds in the H∞ norm are also derived for both uniformly and nonuniformly spaced frequency response samples. © 1994 IEEE
Publication Source (Journal or Book title)
IEEE Transactions on Automatic Control
First Page
1657
Last Page
1661
Recommended Citation
Gu, G. (1994). Suboptimal Algorithms for Worst Case Identification in H∞ and Model Validation. IEEE Transactions on Automatic Control, 39 (8), 1657-1661. https://doi.org/10.1109/9.310044
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