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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser:
Sanchez, Edgar N., Ornelas-Tellez, Fernando
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boca Raton, Florida : CRC Press, Taylor & Francis Group, [2013]
Ausgabe:
1st edition
Zusammenfassung:
"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"--
Umfang:
1 online resource (258 p.)
text file
Anmerkungen:
Description based upon print version of record.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references (pages 203-219) and index.
ISBN:
9781315215914
1315215918
9781138073814
1138073814
9781466580886
1466580887
Schlagworte:
Nonlinear control theory.
Neural networks (Computer science)
Discrete-time systems.
Kalman filtering.
Bezugswerke:
Links: