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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.01936 |
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| _version_ | 1866908626072895488 |
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| author | Llobregat, Julián Salt Ducajú, Julián Salt |
| author_facet | Llobregat, Julián Salt Ducajú, Julián Salt |
| contents | For autonomous vehicles lane keeping purposes it is crucial to control the vehicle yaw rate. As it is known a vehicle yaw rate control can be achieved handling the steering angle. One option is to consider a robust controller and depending of the requirements the synthesis can drive to a high order controller. Nowadays this kind of vehicles needs a networked based control (IVN -Intelligent Vehicle Network-)with a considerable amount of control loops for different vehicle components. Therefore, in this environment the controllers computation saving could be a good option for unload the network and digital processors. That is the main target of this contribution; in order to accomplish this goal a interlacing implementation technique is considered. Results in a real path tracking illustrates viability of this procedure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_01936 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Autonomous Vehicle front steering control computation saving Llobregat, Julián Salt Ducajú, Julián Salt Systems and Control For autonomous vehicles lane keeping purposes it is crucial to control the vehicle yaw rate. As it is known a vehicle yaw rate control can be achieved handling the steering angle. One option is to consider a robust controller and depending of the requirements the synthesis can drive to a high order controller. Nowadays this kind of vehicles needs a networked based control (IVN -Intelligent Vehicle Network-)with a considerable amount of control loops for different vehicle components. Therefore, in this environment the controllers computation saving could be a good option for unload the network and digital processors. That is the main target of this contribution; in order to accomplish this goal a interlacing implementation technique is considered. Results in a real path tracking illustrates viability of this procedure. |
| title | Autonomous Vehicle front steering control computation saving |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2511.01936 |