Neural Network-Based State Estimation of Nonlinear Systems, 2010 Application to Fault Detection and Isolation Lecture Notes in Control and Information Sciences Series, Vol. 395
Auteurs : Talebi Heidar A., Abdollahi Farzaneh, Patel Rajni V., Khorasani Khashayar
"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.
Presents both the Linear-in-Parameter Neural Network based observer and the Nonlinear-in-Parameter Neural Network based observer approaches to nonlinear systems
Discusses the neural network structure for fault detection actuators using an application to satellite attitude control systems and robotic manipulators
Discusses robust sensor and actuator fault detection and estimation
Includes supplementary material: sn.pub/extras
Date de parution : 12-2009
Ouvrage de 154 p.
15.5x23.5 cm