Neural networks-based sensor validation for the flight control system of a B777 research model

Proceedings of the American Control Conference

Volumn 1, Issue , 2002, Pages 412-417

  Campa, Giampiero ^a   Fravolini, Mario Luca ^a   Napolitano, Marcello ^a   Seanor, Brad ^a  

^a West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; FLIGHT DYNAMICS; KALMAN FILTERING; LEARNING ALGORITHMS; OBSERVABILITY; RADIAL BASIS FUNCTION NETWORKS; SENSORS;

EXTENDED BACKPROPAGATION ALGORITHM; FLIGHT CONTROL SYSTEM; ON-LINE LEARNING NONLINEAR APPROXIMATOR;

MULTILAYER NEURAL NETWORKS;

EID: 0036059621     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Fault diagnosis in dynamic systems: Theory and applications
2. Sensor-failure detection method for flexible structures
3. False alarm and correct detection probabilities over a time interval for restricted classes of failure detection algorithms
4. A neural network based scheme for sensor failure detection, identification and accommodation
5. Neural networks for control systems: A survey
6. A fault tolerant flight control system for sensor and actuator failure using neural networks
7. Radial basis function for multivariable interpolation: A review
8. On-line approximators for nonlinear system identification: A unified approach
9. Neural network based fault detection and accommodation in robotic manipulators
10. Design of the B777 model flight control system
11. Robust model based fault diagnosis: The state of the art
12. Survey of robust residual generation and evaluation methods in observer-based fault detection systems
13. Fault-tolerant control of complex systems
14. Trends in the application of model-based fault detection and diagnosis of technical processes
15. Reconfigurable aircraft flight control system via neural networks
16. Failure-accommodation neural networks flight control
17. Aircraft failure detection and identification using neural networks
18. A resource allocation network for function interpolation
19. Analysis of minimal radial basis function network algorithm for real-time identification of non-linear dynamic systems
20. Nonlinear system identification using Lyapunov based fully tuned dynamic RBF networks
21. On-line learning neural architectures and cross correlation analysis for actuator failure detection and identification
22. Fault detection and diagnosis using statistical control charts and artificial neural networks