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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Florida :
CRC Press, Taylor & Francis Group
[2013]
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| Edition: | 1st edition |
| Series: | System of systems engineering series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627897006719 |
| 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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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (258 p.) |
| Bibliography: | Includes bibliographical references (pages 203-219) and index. |
| ISBN: | 9781315215914 9781138073814 9781466580886 |
