
<!-- saved from url=(0048)http://ieeexplore.ieee.org/xpl/downloadCitations -->
<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><style type="text/css"></style></head><body>@INPROCEEDINGS{7330917,
<br>
author={Ragaglia, M. and Prandini, M. and Bascetta, L.},
<br>  booktitle={Control Conference (ECC), 2015 European}, 
<br> title={Poli-RRT*: Optimal RRT-based planning for constrained and feedback linearisable vehicle dynamics}, 
<br>  year={2015},
<br>  pages={2521-2526},
<br>  keywords={feedback;linearisation techniques;nonlinear dynamical systems;optimal control;quadratic programming;random processes;trajectory control;trees (mathematics);vehicle dynamics;Poli-RRT;actuation constraint;constrained linearisable vehicle dynamics;differential constraint;feedback linearisable vehicle dynamics;feedback linearisable vehicle model;linearisation;nonlinear dynamics;optimal RRT-based planning;optimal control problem;optimal trajectory;quadratic program;rapidly exploring random trees planning strategy;unicycle-like model;vehicle constraint;Heuristic algorithms;Optimal control;Planning;Robots;Trajectory;Vehicle dynamics;Vehicles},
<br>  doi={10.1109/ECC.2015.7330917},
<br>  month={July},}<br>

</body></html>