Skip to Main content Skip to Navigation
Journal articles

Cascade High Gain Predictors for a Class of Nonlinear Systems

Tarek Ahmed-Ali 1 Estelle Cherrier 1 Françoise Lamnabhi-Lagarrigue 2
1 Equipe Automatique - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : This work presents a set of cascade high gain predictors to reconstruct the vector state of triangular nonlinear systems with delayed output. By using a Lyapunov-Krasvoskii approach, simple sufficient conditions ensuring the exponential convergence of the observation error towards zero are given. All predictors used in the cascade have the same structure. This feature will greatly improve the easiness of their implementation. This result is illustrated by some simulations.
Complete list of metadatas

https://hal-supelec.archives-ouvertes.fr/hal-00648732
Contributor : Myriam Baverel <>
Submitted on : Monday, June 16, 2014 - 11:43:20 AM
Last modification on : Wednesday, September 16, 2020 - 4:43:09 PM
Long-term archiving on: : Tuesday, September 16, 2014 - 10:35:26 AM

File

riacl-ahmedali-2012-1.pdf
Files produced by the author(s)

Identifiers

Citation

Tarek Ahmed-Ali, Estelle Cherrier, Françoise Lamnabhi-Lagarrigue. Cascade High Gain Predictors for a Class of Nonlinear Systems. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2012, 57 (1), pp.224-229. ⟨10.1109/TAC.2011.2161795⟩. ⟨hal-00648732⟩

Share

Metrics

Record views

480

Files downloads

591