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Control of Multiple Non-Holonomic Air Vehicles under Wind Uncertainty Using Model Predictive Control and Decentralized Navigation Functions

Author(s):

G. Roussos, G. Chaloulos, K. Kyriakopoulos, J. Lygeros
Conference/Journal:

IEEE Conference on Decision and Control, Cancun, Mexico
Abstract:

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 conflict-free control, while Model Predictive Control is used in a centralized manner in order to ensure that the resulting trajectories remain feasible with respect to the constraints present and to optimize the performance objectives. The model used is chosen to resemble air traffic control problems, with some uncertainty introduced in the system. The efficiency of the control strategy is demonstrated by realistic simulations.

Year:

2008
Type of Publication:

(01)Article
Supervisor:

J. Lygeros

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% Autogenerated BibTeX entry
@InProceedings { RouEtal:2008:IFA_3164,
    author={G. Roussos and G. Chaloulos and K. Kyriakopoulos and J. Lygeros},
    title={{Control of Multiple Non-Holonomic Air Vehicles under Wind
	  Uncertainty Using Model Predictive Control and
	  Decentralized Navigation Functions}},
    booktitle={IEEE Conference on Decision and Control},
    pages={},
    year={2008},
    address={Cancun, Mexico},
    month=dec,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=3164}
}
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