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Record Nr. |
UNINA9910779714803321 |
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Autore |
Sanchez Edgar N. |
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Titolo |
Discrete-time inverse optimal control for nonlinear systems / / Edgar N. Sanchez, Fernando Ornelas-Tellez |
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Pubbl/distr/stampa |
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Boca Raton, Florida : , : CRC Press, Taylor & Francis Group, , [2013] |
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©2013 |
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ISBN |
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1-315-21591-8 |
1-138-07381-4 |
1-4665-8088-7 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (258 p.) |
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Collana |
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System of systems engineering series |
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Classificazione |
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Disciplina |
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Soggetti |
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Nonlinear control theory |
Neural networks (Computer science) |
Discrete-time systems |
Kalman filtering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (pages 203-219) and index. |
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Nota di contenuto |
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ch. 1. Introduction -- ch. 2. Mathematical preliminaries -- ch. 3. Inverse optimal control : a passivity approach -- ch. 4. Inverse optimal control : a CLF approach, part I -- ch. 5. Inverse optimal control : a CLF approach, part II -- ch. 6. Neural inverse optimal control -- ch. 7. Glycemic control of type 1 diabetes mellitus patients -- ch. 8. Conclusions. |
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Sommario/riassunto |
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"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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