Paper Info
Title
Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays
Abstract
This paper deals with the application of state space neural network model with delays to design a nonlinear model for a laboratory stand of the Two Rotor Aero-dynamical system as an example of the MIMO (multi input multi output) system. The work presented is the first part of the researches on the design of the nonlinear model predictive control and focuses on obtaining of the best system model. The work describes the methodology of system analysis to obtain the most informative data which can be successfully used in training of the neural network. The system analysis is based on spectral analysis with Fourier's transform. All data used in experiments is obtain from the realtime laboratory stand which is working in Matlab/Simulink RTW environment.
Year
DOI
Venue
2013
10.1109/MMAR.2013.6669905
Methods and Models in Automation and Robotics
Keywords
Field
DocType
Fourier transforms,MIMO systems,aerodynamics,control system analysis,control system synthesis,delays,neurocontrollers,predictive control,rotors,spectral analysis,state-space methods,Fourier transform,MIMO system,Matlab-Simulink RTW environment,best system model,control system analysis,delays,multiinput multioutput system,nonlinear model predictive control design,rotor aerodynamical system,spectral analysis,state space neural network model
MATLAB,Control theory,Computer science,Model predictive control,MIMO,Control engineering,Rotor (electric),Artificial neural network,State space,System model,Dynamical system
Conference
ISBN
Citations 
PageRank 
978-1-4673-5506-3
1
0.41
References 
Authors
3
2
Name
Order
Citations
PageRank
Andrzej Czajkowski1122.84
Krzysztof Patan215118.13