@inproceedings{a06c12cb521b47f9bdbc3fd0fb2b9387,
title = "UAV 3-D Path Planning with MILP Based on Tightening Constraint Algorithm",
abstract = "This chapter introduces a tightening constraint algorithm combined with the model predictive control within mixed-integer linear programming framework to deal with unmanned rotorcraft path planning problem in a 3-D environment. The bounded-obstacle-boundary uncertainties and moving obstacle uncertainties are considered. The simulation results show the effectiveness and verification of the tightening constraint algorithm. In addition, the simulation also demonstrates that the computation burden has no relation with the environment complexity with this approach.",
keywords = "Model predictive control, Path planning, Tightening constraint algorithm, Uncertainty, Unmanned aerial vehicle",
author = "Yu, {Jian Qiao} and Li, {Su Yu} and Luo, {Guan Chen} and Wang, {Jin Long}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media, LLC 2012.; International Conference in Electrics, Communication and Automatic Control, ECAC 2011 ; Conference date: 23-06-2011 Through 24-06-2011",
year = "2012",
doi = "10.1007/978-1-4419-8849-2_117",
language = "English",
isbn = "9781441988485",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "925--930",
editor = "Ran Chen",
booktitle = "2011 International Conference in Electrics, Communication and Automatic Control Proceedings",
address = "Germany",
}