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...
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| Format: | eBook |
| Language: | English |
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Boca Raton, Florida :
CRC Press, Taylor & Francis Group,
[2013]
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| Series: | System of systems engineering series.
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| Online Access: | https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=147476 |
| Summary: | "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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| Physical Description: | 1 online resource (258 pages) : illustrations (some color). |
| Bibliography: | Includes bibliographical references (pages 203-219) and index. |
| ISBN: | 9781466580886 (e-book) |