Title :
A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment
Author :
Xinyi Le;Jun Wang
Author_Institution :
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper presents a neurodynamic optimization approach with two coupled recurrent neural networks for the synthesis of linear systems with fault detection via robust pole assignment. The proposed approach is shown to be capable of synthesizing control systems with robust state estimators and fault detection with parameter perturbation. The operating characteristics of the recurrent neural networks for state estimation and fault detection are demonstrated by using an illustrative example.
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
DOI :
10.1109/IJCNN.2015.7280385