scholarly journals Nonlinear robust observer design using an invariant manifold approach

2016 ◽  
Vol 55 ◽  
pp. 69-79 ◽  
Author(s):  
Irfan Ullah Khan ◽  
David Wagg ◽  
Neil D. Sims
2010 ◽  
Vol 43 (5) ◽  
pp. 182-187
Author(s):  
M. Alamir ◽  
P. Bellemain ◽  
L. Boillereaux ◽  
I. Queinnec ◽  
M. Titica ◽  
...  

2001 ◽  
Author(s):  
Chan Park ◽  
Jang Lee ◽  
Duk-Sun Shim ◽  
Myeong-Jong Yu

2005 ◽  
Vol 328 (4) ◽  
pp. 317-325 ◽  
Author(s):  
Víctor Alcaraz-González ◽  
Rodolfo Salazar-Peña ◽  
Víctor González-Álvarez ◽  
Jean-Luc Gouzé ◽  
Jean-Philippe Steyer

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yun Li ◽  
Guang He ◽  
Jie Li

A fault detection approach based on nonlinear robust observer is designed for the networked suspension control system of Maglev train with random induced time delay. First, considering random bounded time-delay and external disturbance, the nonlinear model of the networked suspension control system is established. Then, a nonlinear robust observer is designed using the input of the suspension gap. And the estimate error is proved to be bounded with arbitrary precision by adopting an appropriate parameter. When sensor faults happen, the residual between the real states and the observer outputs indicates which kind of sensor failures occurs. Finally, simulation results using the actual parameters of CMS-04 maglev train indicate that the proposed method is effective for maglev train.


2006 ◽  
Vol 291 (3-5) ◽  
pp. 1080-1103 ◽  
Author(s):  
G.A. Kfoury ◽  
N.G. Chalhoub ◽  
N.A. Henein ◽  
W. Bryzik

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