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...

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Bibliographic Details
Main Authors: Sanchez, Edgar N. (Author), Ornelas-Tellez, Fernando (Author)
Format: Electronic eBook
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group [2013]
Series:System of systems engineering series
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781466580886/?ar
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"--
Item Description:Includes bibliographical references (pages 203-219) and index. - Print version record
Physical Description:1 Online-Ressource (xxx, 232 Seiten) illustrations.
ISBN:9781466580886
1466580887
9781138073814
1138073814