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Conference Papers Year : 2014

Sampled-data adaptive observer for a class of state affine nonlinear systems with output injection

Abstract

The problem of observer design is addressed for output-injection nonlinear systems. A major difficulty with this class of systems is that the state equation involves an output-dependent term that is explicitly dependent on unknown parameters. As the output is only accessible to measurement at sampling times, the output-dependent term turns out to be (almost all time) subject to a double uncertainty, making previous adaptive observers inappropriate. Presently, a new hybrid adaptive observer is designed and shown to be exponentially convergent under ad-hoc conditions.

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hal-01102672 , version 1 (13-01-2015)

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Tarek Ahmed-Ali, Fouad Giri, Françoise Lamnabhi-Lagarrigue. Sampled-data adaptive observer for a class of state affine nonlinear systems with output injection. 19th IFAC World Congress on International Federation of Automatic Control (IFAC 2014), Aug 2014, CapeTown, South Africa. ⟨10.1109/TAC.2015.2437522⟩. ⟨hal-01102672⟩
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