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• W1965231862 endingPage "381" @default.
• W1965231862 startingPage "373" @default.
• W1965231862 abstract "Low-speed driving in traffic jams causes significant pollution and wasted time for commuters. Additionally, from the passengers׳ standpoint, this is an uncomfortable, stressful and tedious scene that is suitable to be automated. The highly nonlinear dynamics of car engines at low-speed turn its automation in a complex problem that still remains as unsolved. Considering the hybrid nature of the vehicle longitudinal control at low-speed, constantly switching between throttle and brake pedal actions, hybrid control is a good candidate to solve this problem. This work presents the analytical formulation of a hybrid predictive controller for automated low-speed driving. It takes advantage of valuable characteristics supplied by predictive control strategies both for compensating un-modeled dynamics and for keeping passengers security and comfort analytically by means of the treatment of constraints. The proposed controller was implemented in a gas-propelled vehicle to experimentally validate the adopted solution. To this end, different scenarios were analyzed varying road layouts and vehicle speeds within a private test track. The production vehicle is a commercial Citroën C3 Pluriel which has been modified to automatically act over its throttle and brake pedals." @default.
• W1965231862 created "2016-06-24" @default.
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• W1965231862 date "2015-07-01" @default.
• W1965231862 modified "2023-09-27" @default.
• W1965231862 title "Low speed hybrid generalized predictive control of a gasoline-propelled car" @default.
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• W1965231862 doi "https://doi.org/10.1016/j.isatra.2015.01.004" @default.
• W1965231862 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25634584" @default.
• W1965231862 hasPublicationYear "2015" @default.
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