Titlebook: CONTROLO 2022; Proceedings of the 1 Luís Brito Palma,Rui Neves-Silva,Luís Gomes Conference proceedings 2022 The Editor(s) (if applicable) a

否決

Range-Of-Motion

以煙熏消毒

ed path with a nominal (path-dependent) velocity profile, while keeping a desired safe distance with respect to moving obstacles. By using a new set of coordinates and a Virtual Target Vehicle (VTV) perspective, we propose a trajectory generation strategy to compute the (local) optimal collision-fre

ENDOW

l disturbances. The objective is to perform slew manoeuvres and maintain pointing stability while guaranteeing fast convergence and high performance. For slew manoeuvres, a Nonlinear Model Predictive Controller (NMPC) is designed to achieve improved convergence while imposing constraints on the actu

placebo

MIRTH

estimating in its structure. The proposed control scheme includes two control loops: the inner control that is responsible to track the velocity command signals, and the outer loop that controls the vehicle’s path-following errors. Thanks to fuzzy estimators, uncertainties, including un-modelled dyn

deriver

https://doi.org/10.1007/978-1-4614-0537-5ture Formula Student Lisboa vehicle, this work is developed with the objective of implementing different strategies for control and path planning, with the purpose of minimising race lap times. These strategies are tested in simulation, using a realistic model of the prototype. The approach followed

Hemiparesis

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Kernel