Conference
Fault Detection of an Engine Using a Neural Network Trained by the Smooth Variable Structure Filter
Abstract
A multilayered neural network is a multi-input, multi-output (MIMO) nonlinear system in which training can be regarded as a nonlinear parameter estimation problem by estimating the network weights. In this paper, the relatively new smooth variable structure filter (SVSF) is used for the training of a nonlinear multilayered feed forward network. The SVSF is a recursive sliding mode parameter and state estimator that has a predictor-corrector …
Authors
Ahmed RM; Sayed MAE; Gadsden SA; Habibi SR
Volume
1
Pagination
pp. 1190-1196
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
September 1, 2011
DOI
10.1109/cca.2011.6044515
Name of conference
2011 IEEE International Conference on Control Applications (CCA)