Hybridizing direct and indirect optimal control approaches for aircraft conflict avoidance
type: Distribution
access URL: https://enac.hal.science/hal-00938826
format: HTML
issued: 2026-05-07T04:51:42.159986
modified: 2026-05-07T04:51:42.146111

test_moissonnage_selune
type: Agent

Hybridizing direct and indirect optimal control approaches for aircraft conflict avoidance
type: Dataset
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: conflict-avoidance
keyword: optimal-control
keyword: pontryagins-maximum-principle
keyword: infoeu-reposemanticsconferenceobject
keyword: air-traffic-management
keyword: mathmath-ocmathematics-mathoptimization-and-control-mathoc
keyword: speed-regulation
description: Aircraft conflict avoidance is a crucial issue arising in air traffic management. The problem is to keep a given separation distance for aircraft along their trajectories. We focus on an optimal control model based on speed regulation to achieve aircraft separation. We propose a solution strategy based on the decomposition of the problem and on the hybridization of a direct and an indirect method applied on the obtained subproblems. Numerical results show that the proposed approach is promising in terms of reduction of computing time for conflict avoidance.
issued: 2026-05-07T04:51:42.154961
language: en
modified: 2026-05-07T04:51:42.154966