Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Georgios Chaloulos"'
Publikováno v:
IFAC Proceedings Volumes. 44:1564-1569
We present a hierarchical solution to the problem of collision avoidance in air traffic control utilizing priority-based Model Predictive Control. First, we abstract the physical aircraft dynamics to simplified ones. Then, we design a centralized mod
Autor:
John Lygeros, Georgios Chaloulos
Publikováno v:
Journal of Guidance, Control, and Dynamics. 30:1742-1752
A study which examines the effect of wind correlation on aircraft conflict probability estimation is presented. We describe the correlation structure of the difference between the actual wind and the meteorological wind forecasts and discuss how it c
Publikováno v:
Proceedings of the 2010 American Control Conference.
We present a decentralized Model Predictive Control scheme for hierarchical systems to tackle the collision avoidance problem for autonomous aircraft in an air traffic control setting. Using a low level controller, the aircraft dynamic equations are
Publikováno v:
CDC
We propose a dynamic programming-based solution to a stochastic optimal control problem up to a hitting time for a discrete-time Markov control process. Firstly, we determine an optimal control policy to steer the process toward a compact target set
Publikováno v:
AIAA Guidance, Navigation and Control Conference and Exhibit.
We propose a novel method for conflict resolution for aircraft flying in a self-separation airspace, with the possibility of some ground assistance. Our method is based on navigation functions, that can guarantee decentralized conflict avoidance for
Publikováno v:
CDC
We present a novel control scheme for multiple non-holonomic vehicles under uncertainty, which can guarantee collision avoidance while complying with constraints imposed on the vehicles. Dipolar navigation functions are used for decentralized conflic
Autor:
Georgios Chaloulos, John Lygeros
Publikováno v:
AIAA Guidance, Navigation and Control Conference and Exhibit.
The purpose of this study is to examine the wind forecast uncertainty correlation and its efiect on aircraft con∞ict detection. The spatiotemporal correlation structure of the wind prediction uncertainty of Rapid Update Cycle - 60 (RUC-1) forecasts