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Cited by 196

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A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems

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Falcone, P., Tufo, M., Borrelli, F., Asgari, J., Tseng, H. E.·2007·2007 46th IEEE Conference on Decision and Control

Abstract

A Model Predictive Control (MPC) approach for controlling active front steering, active braking and active differentials in an autonomous vehicle is presented. We formulate a predictive control problem in order to best follow a given path by controlling the front steering angle, brakes and traction at the four wheels independently, while fulfilling various physical and design constraints. At each time step a trajectory is assumed to be known over a finite horizon, and an MPC controller computes the system inputs in order to best follow the desired trajectory on slippery roads at a given entry speed. We start from the results presented in [1], [2] and formulate the MPC problem based on successive on-line linearization of the nonlinear vehicle model (LTV MPC). Simulative results are presented, interpreted and compared against LTV MPC schemes which make use only of steering and/or braking.

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Metadata

Authors
Falcone, P., Tufo, M., Borrelli, F., Asgari, J., & Tseng, H. E.
Venue
2007 46th IEEE Conference on Decision and Control
Publisher
IEEE
Published
2007
Pages
2980-2985
ISSN
0191-2216 (ISSN-L)
OpenAlex
W2140305633
Cited by
196
References
1
FWCI
3.94
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems. https://app.cochat.ai/papers/10.1109/cdc.2007.4434137
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Falcone, P., Tufo, M., Borrelli, F., Asgari, J., & Tseng, H. E. (2007). A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems. 2007 46th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2007.4434137

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