Adaptive control of nonlinear dynamic system using fully tuned radial basis function neural networks : aircraft flight control applications
This thesis focuses on adaptive control of nonlinear dynamic systems using fully tuned RBF neural networks (RBFN), with an emphasis in aircraft flight control applications.
Saved in:
Main Author: | Li, Yan. |
---|---|
Other Authors: | Sundararajan, Narasimhan |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/4772 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Similar Items
-
Neuro-flight controllers for aircraft using minimal, radial basis function (RBF) neural networks
by: Chua, Nigel Boon Hong.
Published: (2008) -
Robust fault detection and identification with application to aircraft flight control system
by: Wang, Jianliang, et al.
Published: (2008) -
Modeling, identification and control : a robust and reliable approach to aircraft flight control system design
by: Wang, Jianliang, et al.
Published: (2008) -
Performance evaluation of neural and fuzzy-neural fault tolerant aircraft auto-landing controllers
by: Jayaraman Sakthivel
Published: (2009) -
Aircraft simulation and control
by: Zhao, Liang.
Published: (2009)