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Journal articles
Sampled-Data Adaptive Observer For a Class of State Affine Output-Injection Nonlinear Systems
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.
Cited literature [8 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-01260152
Contributor : Myriam Baverel <>
Submitted on : Monday, July 13, 2020 - 3:50:06 PM
Last modification on : Friday, April 30, 2021 - 10:05:24 AM
Long-term archiving on: : Tuesday, December 1, 2020 - 8:20:57 PM
Contributor : Myriam Baverel <>
Submitted on : Monday, July 13, 2020 - 3:50:06 PM
Last modification on : Friday, April 30, 2021 - 10:05:24 AM
Long-term archiving on: : Tuesday, December 1, 2020 - 8:20:57 PM
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