Title :
Cascade High Gain Predictors for a Class of Nonlinear Systems
Author :
Ahmed-Ali, Tarek ; Cherrier, Estelle ; Lamnabhi-Lagarrigue, Françoise
Author_Institution :
GREYC, Caen, France
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.
Keywords :
Lyapunov methods; cascade systems; convergence; delays; nonlinear control systems; observers; Lyapunov-Krasvoskii approach; cascade high gain predictor; observation error; triangular nonlinear system; vector state reconstruction; Convergence; Delay; Equations; Noise measurement; Nonlinear systems; Observers; Solids; Cascade systems; high gain observer; time-delay systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2011.2161795
