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...
Main Authors: | , |
---|---|
Format: | eBook |
Language: | English |
Published: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
2013
|
Series: | System of systems engineering series
|
Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
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"-- |
---|---|
Physical Description: | xxx, 232 pages illustrations |
ISBN: | 1466580887 9781466580886 9781138073814 |