Abstract
For systems with monotonic nonlinearities, the Arcak observer provides globally convergent state estimates. In the presence of unknown parameters this convergence property is lost and our goal is to recover it by adaptation. Here we present some preliminary results in this direction.
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© 2001 Springer-Verlag London Limited
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Costa, R., Kokotović, P., Mareels, I. (2001). Making a Nonlinear Observer Adaptive. In: Goodwin, G. (eds) Model Identification and Adaptive Control. Springer, London. https://doi.org/10.1007/978-1-4471-0711-8_5
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DOI: https://doi.org/10.1007/978-1-4471-0711-8_5
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1185-6
Online ISBN: 978-1-4471-0711-8
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