Data-driven design of a reference governor using deep reinforcement learning
Reference tracking systems involve a plant that is stabilized by a local controller and a command center that indicates the reference set-point the plant should follow. Typically, these systems are subjected to limitations such as poorly designed controllers that do not allow them to achieve the des...
- Autores:
-
Arroyo Bernal, María Angélica
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/43959
- Acceso en línea:
- http://hdl.handle.net/1992/43959
- Palabra clave:
- Controladores programables - Investigaciones
Aprendizaje automático (Inteligencia artificial) - Investigaciones
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf