Constant-gain nonlinear adaptive observers revisited: an application to chemostat systems

2021 ◽  
Vol 22 (1) ◽  
pp. 68-78
Author(s):  
Jorge A. Torres ◽  
Arno Sonck ◽  
Sergej Čelikovský ◽  
Alma R. Dominguez
Keyword(s):  
Author(s):  
Vlatko Miskovic ◽  
Vladimir Blasko ◽  
Thomas M. Jahns ◽  
Robert D. Lorenz ◽  
Charles J. Romenesko ◽  
...  

2006 ◽  
Vol 129 (3) ◽  
pp. 352-356 ◽  
Author(s):  
Wen Chen ◽  
Mehrdad Saif

This paper presents a novel fault diagnosis approach in satellite systems for identifying time-varying thruster faults. To overcome the difficulty in identifying time-varying thruster faults by adaptive observers, an iterative learning observer (ILO) is designed to achieve estimation of time-varying faults. The proposed ILO-based fault-identification strategy uses a learning mechanism to perform fault estimation instead of using integrators that are commonly used in classical adaptive observers. The stability of estimation-error dynamics is established and proved. An illustrative example clearly shows that time-varying thruster faults can be accurately identified.


2006 ◽  
Vol 39 (9) ◽  
pp. 101-106 ◽  
Author(s):  
Péter Gáspár, ◽  
Zoltán Szabó ◽  
József Bokor

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