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Cascade High Gain Predictors for a Class of Nonlinear Systems

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.
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Submitted on : Monday, June 16, 2014 - 11:43:20 AM
Last modification on : Tuesday, October 19, 2021 - 11:34:56 PM
Long-term archiving on: : Tuesday, September 16, 2014 - 10:35:26 AM


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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⟩



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