Reliability validation of safety-critical flight control systems requires accurate simula-tion models of aircraft. This paper proposes a simple approach to validate such models efficiently using flight data. A statistical model validation analysis is shown to be equiv-alent to a robust control analysis for simple linear systems. The analysis is extended to nonlinear systems in conjunction with Monte Carlo simulations to validate an uncertain air-craft simulation model. This approach is demonstrated using the University of Minnesota Unmanned Aerial Vehicle flight test platform. I
AbstractA study is conducted on a new airworthiness compliance verification method based on pilot-ai...
Unmanned aerial system (UAS) use is ever-increasing. In this paper, it is shown that even with low-c...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...
A methodology is developed that uses probabilistic analysis and computational simulation to continua...
ii A methodology is developed that uses probabilistic analysis and computational simulation to conti...
In aircraft development, it is crucial to understand and evaluate behavior, performance, safety and ...
University of Minnesota Ph.D. dissertation. December 2009. Major: Aerospace Engineering and Mechanic...
Model-based fault detection algorithms can be used to improve the reliability of un-manned aerial ve...
In this paper we describe the results of extensive analysis of flight test data of a modified transp...
University of Minnesota Ph.D. dissertation. September 2013. Major: Aerospace Engineering and Mechani...
The aeronautical industry is becoming increasingly reliant on Modeling and Simulation (M&S) for ...
Validating a concept of operation for a complex, safety-critical system (like the National Airspace ...
A Monte Carlo model designed for fixed-wing aircraft takeoff performance uncertainty quantification ...
[Abstract] Due to the continuously increasing design requirements on modern aircraft the robustness ...
Unmanned aerial system (UAS) use is ever-increasing. In this paper, it is shown that even with low-c...
AbstractA study is conducted on a new airworthiness compliance verification method based on pilot-ai...
Unmanned aerial system (UAS) use is ever-increasing. In this paper, it is shown that even with low-c...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...
A methodology is developed that uses probabilistic analysis and computational simulation to continua...
ii A methodology is developed that uses probabilistic analysis and computational simulation to conti...
In aircraft development, it is crucial to understand and evaluate behavior, performance, safety and ...
University of Minnesota Ph.D. dissertation. December 2009. Major: Aerospace Engineering and Mechanic...
Model-based fault detection algorithms can be used to improve the reliability of un-manned aerial ve...
In this paper we describe the results of extensive analysis of flight test data of a modified transp...
University of Minnesota Ph.D. dissertation. September 2013. Major: Aerospace Engineering and Mechani...
The aeronautical industry is becoming increasingly reliant on Modeling and Simulation (M&S) for ...
Validating a concept of operation for a complex, safety-critical system (like the National Airspace ...
A Monte Carlo model designed for fixed-wing aircraft takeoff performance uncertainty quantification ...
[Abstract] Due to the continuously increasing design requirements on modern aircraft the robustness ...
Unmanned aerial system (UAS) use is ever-increasing. In this paper, it is shown that even with low-c...
AbstractA study is conducted on a new airworthiness compliance verification method based on pilot-ai...
Unmanned aerial system (UAS) use is ever-increasing. In this paper, it is shown that even with low-c...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...