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Wilborn, J.E. and Foster, J.V. (2004) Defining Commercial Transport Loss-of-Control: A Quantitative Approach. AIAA Atmospheric Flight Mechanics Conference and Exhibit.

has been cited by the following article:

• TITLE: Temporal Prediction of Aircraft Loss-of-Control: A Dynamic Optimization Approach

  AUTHORS: Chaitanya Poolla, Abraham K. Ishihara

  KEYWORDS: Pilot Assistance, Loss of Control, Aircrafts, Dynamic Optimization, Temporal Prediction, Pontryagin Maximum Principle, Differential Evolution, Stochastic Shooting Point Methods

  JOURNAL NAME: Intelligent Control and Automation, Vol.6 No.4, November 13, 2015

  ABSTRACT: Loss of Control (LOC) is the primary factor responsible for the majority of fatal air accidents during past decade. LOC is characterized by the pilot’s inability to control the aircraft and is typically associated with unpredictable behavior, potentially leading to loss of the aircraft and life. In this work, the minimum time dynamic optimization problem to LOC is treated using Pontryagin’s Maximum Principle (PMP). The resulting two point boundary value problem is solved using stochastic shooting point methods via a differential evolution scheme (DE). The minimum time until LOC metric is computed for corresponding spatial control limits. Simulations are performed using a linearized longitudinal aircraft model to illustrate the concept.