Control – Leonardo Times

Would you prefer to work with automation that solves problems just like yourself? Would such individual-sensitive automation be able to overcome the acceptance issues observed with the introduction of new decision-support automation? This PhD research aims to find out. In the Air Traffic Management domain, automation is expected to enable the necessary traffic capacity that is needed to meet the future demand for air travel. However, introduction of increasingly sophisticated automation is at risk of being rejected, and threatening the required growth. This article discusses ongoing PhD research that is exploring the benefits of individual-sensitive automation capable to solve conflicts between aircraft as intelligently as an air traffic controller. Exploring automation bias We have re...

Engineering relies heavily on mathematical models of real systems. However, physical processes are often highly complex and not entirely understood, so the modeling of the first principles can be challenging, sometimes even impossible. System identification allows for any system, however complex or obscure, to be modeled solely on the basis of measurements. System identification is the science of extracting a model from a set of observations or measurements. By looking at how a system behaves in specific situations, we can determine whether there are patterns in the behaviour and what factors influence it. The underlying idea is to formulate a basic model structure containing a number of unknown parameters, and then estimate these parameters such that the difference between measurements...

Tag: Control

Exploring Human-like Automation in Air Traffic Management

System Identification in Aerospace