Title :
High order dynamic neuro observer: application for ozone generator
Author :
Chairez, Isaac ; Poznyak, Alexander ; Poznyak, Tatyana
Author_Institution :
CINVESTAV-IPN, Mexico City
Abstract :
In this study the adaptive observing problem for nonlinear uncertain systems is analyzed. The considered nonlinear systems verify the so-called regular form. A new high-order sliding mode neural-observer is suggested to solve the afore-mentioned problem by means of the super-twisting algorithm. This observer is supplied with a new learning procedure which adaptive structure ensuring the practical stability for estimation scheme. The suggested approach was successfully applied for the state estimation of the corona discharge ozone generator.
Keywords :
corona; learning systems; neurocontrollers; nonlinear control systems; observers; ozone; uncertain systems; variable structure systems; adaptive observing problem; adaptive structure; corona discharge ozone generator; high order dynamic neuro observer; high-order sliding mode neural-observer; nonlinear uncertain systems; regular form; state estimation; super-twisting algorithm; Convergence; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Observers; Robustness; Sliding mode control; Stability; State estimation; Uncertain systems; Dynamic neural network; Estimation; Observer; Sliding mode control;
Conference_Titel :
Variable Structure Systems, 2008. VSS '08. International Workshop on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2199-2
Electronic_ISBN :
978-1-4244-2200-5
DOI :
10.1109/VSS.2008.4570723
