TR2016-159
Vehicle Tracking Control on Piecewise-Clothoidal Trajectories by MPC with Guaranteed Error Bounds
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- "Vehicle Tracking Control on Piecewise-Clothoidal Trajectories by MPC with Guaranteed Error Bounds", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC.2016.7798351, December 2016, pp. 709-714.BibTeX TR2016-159 PDF
- @inproceedings{DiCairano2016dec,
- author = {Di Cairano, Stefano and Kalabić, Uroš and Berntorp, Karl},
- title = {Vehicle Tracking Control on Piecewise-Clothoidal Trajectories by MPC with Guaranteed Error Bounds},
- booktitle = {IEEE Conference on Decision and Control (CDC)},
- year = 2016,
- pages = {709--714},
- month = dec,
- doi = {10.1109/CDC.2016.7798351},
- url = {https://www.merl.com/publications/TR2016-159}
- }
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- "Vehicle Tracking Control on Piecewise-Clothoidal Trajectories by MPC with Guaranteed Error Bounds", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC.2016.7798351, December 2016, pp. 709-714.
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MERL Contact:
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Research Area:
Abstract:
For control architectures of autonomous and semiautonomous driving features, we design a vehicle steering controller with limited preview ensuring that the vehicle constraints are satisfied, and that any piecewise clothoidal trajectory, that is possibly generated by a path planner or supervisory algorithm and satisfies constraints on the desired yaw rate and the change of desired yaw rate, is tracked within a preassigned lateral error bound. The design is based on computing a non-maximal, yet polyhedral, robust control invariant (RCI) set for a system subject to bounded disturbances with state-dependent bounds, which also allows to determine the constraints describing the reference trajectories that can be followed. The RCI set is then enforced by model predictive control, where the cost function enforces additional objectives of the vehicle motion.
Related News & Events
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NEWS Stefano Di Cairano appointed Vice-Chair of IFAC Technical Committee for Optimal Control Date: October 18, 2017
Where: International Federation of Automatic Control
MERL Contact: Stefano Di Cairano
Research Area: ControlBrief- MERL Mechatronics Senior Principal Research Scientist and Senior Optimization-based Control Team Leader, Stefano Di Cairano, was recently appointed the Vice-Chair of IFAC (International Federation of Automatic Control) Technical Committee for Optimal Control. His term will continue through July 2020.