Discrete-time inverse optimal control for nonlinear systems / / Edgar N. Sanchez, Fernando Ornelas-Tellez.
"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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| Superior document: | System of systems engineering series |
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| Place / Publishing House: | Boca Raton, Florida : : CRC Press, Taylor & Francis Group,, [2013] 2013 |
| Year of Publication: | 2013 |
| Language: | English |
| Series: | System of systems engineering series.
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| Online Access: | |
| Physical Description: | 1 online resource (258 pages) :; illustrations (some color). |
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| 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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| Bibliography: | Includes bibliographical references (pages 203-219) and index. |
| ISBN: | 9781466580879 9781466580886 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Edgar N. Sanchez, Fernando Ornelas-Tellez. |