Aircraft Damage Identification and Classification for Database-Driven Online Flight-Envelope Prediction

On-Line Safe Flight Envelope Determination for Impaired Aircraft

The design and simulation of an on-line algorithm which estimates the safe maneuvering envelope of aircraft is discussed in this paper. The trim envelope is estimated using probabilistic methods and efficient high-fidelity model based computations of attainable equilibrium sets. From this trim envelope, a robust reachability analysis provides the maneuverability limitations of the aircraft thro...

System Identification Methods for Aircraft Flight Control Development and Validation

System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The extracted models allow the characterization of the response of the overall aircraft or component subsystem behavior, such as actua-tors and on-board signal processing algorithms. This paper discusses the use of frequency-domain system-identification me...

Real-Time Detection of In-flight Aircraft Damage

When there is damage to an aircraft, it is critical to be able to quickly detect and diagnose the problem so that the pilot can attempt to maintain control of the aircraft and land it safely. We develop methodology for real-time classification of flight trajectories to be able to distinguish between an undamaged aircraft and five different damage scenarios. Principal components analysis allows ...

Steady Aircraft Flight and Aircraft Performance

Conjugate Conformal Prediction for Online Binary Classification

Binary classification (rain or shine, disease or not, increase or decrease) is a fundamental problem in machine learning. We present an algorithm that can take any standard online binary classification algorithm and provably improve its performance under very weak assumptions, given the right to refuse to make predictions in certain cases. The extent of improvement will depend on the data size,...