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Global adaptive observers for nonlinear systems via filtered transformations

✍ Scribed by Marino, R.; Tomei, P.


Book ID
118048252
Publisher
IEEE
Year
1992
Tongue
English
Weight
609 KB
Volume
37
Category
Article
ISSN
0018-9286

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✍ Øyvind Nistad Stamnes; Ole Morten Aamo; Glenn-Ole Kaasa πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 663 KB

We propose a method for redesigning adaptive observers for nonlinear systems. The redesign uses an adaptive law that is based on delayed observers. This increases the computational burden, but gives significantly better parameter identification and robustness properties. In particular, given that a