Title :
Estimation of Nonlinear System Parameter Faults via Sliding Mode Observer
Author :
Dusan Krokavec;Anna Filasova
Author_Institution :
Dept. of Cybern. &
fDate :
7/1/2011 12:00:00 AM
Abstract :
Advanced principle for designing a system para-meter fault estimation based on sliding mode structure and neural network fault approximation, is treated in the paper. Linear matrix inequality is outlined to possess stable sliding mode structure closest to optimal dynamic properties, and the network weight adaptation law is derived.
Keywords :
"Observers","Linear matrix inequalities","Generators","Biological neural networks","Approximation methods","Lyapunov methods"
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Print_ISBN :
978-1-4577-0855-8
DOI :
10.1109/PACCS.2011.5990172
