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:
Bibliographische Detailangaben
Beteiligte Personen: Sanchez, Edgar N. (VerfasserIn), Ornelas-Tellez, Fernando (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Boca Raton, FL CRC Press, Taylor & Francis Group [2013]
Schriftenreihe:System of systems engineering series
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781466580886/?ar
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"--
Beschreibung:Includes bibliographical references (pages 203-219) and index. - Print version record
Umfang:1 Online-Ressource (xxx, 232 Seiten) illustrations.
ISBN:9781466580886
1466580887
9781138073814
1138073814