Discrete-time inverse optimal control for nonlinear systems
"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additional...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Florida :
CRC Press, Taylor & Francis Group
[2013]
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| Colección: | System of systems engineering series.
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| Materias: | |
| Acceso en línea: | https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=147476 |
| Ver en Universidad Loyola - Universidad Loyola Granada: | https://colectivo.uloyola.es/Record/ELB147476 |
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| Sumario: | "This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"-- |
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| Descripción Física: | 1 online resource (258 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references (pages 203-219) and index. |
| ISBN: | 9781466580886 |
