Sampled-Data Adaptive Observer For a Class of State-Affine Output-Injection Nonlinear Systems

Théo Folin, Tarek Ahmed‐Ali, Fouad Giri, Laurent Burlion, Françoise Lamnabhi‐Lagarrigue

IEEE Transactions on Automatic Control · 2015 · 38 citations · 6 references

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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.

References

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