Dynamic modelling of a twin rotor system in hovering position

International Symposium on Control, Communications and Signal Processing, ISCCSP

Volumn , Issue , 2004, Pages 823-826

  Aldebrez, F M ^a   Mat Darus, I Z ^a   Tokhi, M O ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Neural Networks; System Identification; Twin Rotor System

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; CORRELATION METHODS; ERROR ANALYSIS; ESTIMATION; FREQUENCY DOMAIN ANALYSIS; HELICOPTERS; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; VIBRATIONS (MECHANICAL);

MODEL VALIDATION; ONE-STEP-AHEAD (OSA); RECURSIVE LEAST SQUARES (RLS); TWIN ROTOR SYSTEMS;

ROTORS;

EID: 3042542028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Sze, T. L., "System Identification Using Radial Basis Neural Networks," PhD Thesis, The University of Sheffield, Sheffield, UK, 1995.
2. Worden, K., P. Stansby, G. Tomlinson, and S. A. Billing, "Identification of Non-linear-wave Forces," Journal of Fluids and Structures, 8 (1), pp. 19-71, 1994.
3. Elanayar, S. V. T. and C. S. Yung, "Radial Basis Function Neural Networks for Approximation and Estimation of Nonlinear Stochastic Dynamic Systems," The IEEE Transaction on Neural Networks, 5 (4), pp. 594-603, 1994.
4. Feedback Instruments Ltd., Twin Rotor MIMO System Manual 33-007-0, Sussex, UK, 1996.
5. Billings, S.A. and W. S. F. Voon, "Correlation Based Model Validity Tests for Non-linear Model," Research report no. 285, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, 1995.
6. Ahmad, S. M., "Modeling and Control of a Twin Rotor Multi-Input Multi-Output System," PhD Thesis, Department of Automatic Control and Systems Engineering, University of Sheffield, UK, 2001.