Discrete-Time Inverse Optimal Control for Nonlinear Systems
Sanchez, Edgar N. and Ornelas-Tellez, Fernando.
Discrete-Time Inverse Optimal Control for Nonlinear Systems - Boca Raton : CRC Press, c2013. - 268 p. : 10 Color & 70 B/W ill. - System of systems engineering series . - System of systems engineering series. .
Includes bibliographical references (p. 203-219) and index.
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.
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--
Mode of access: World Wide Web.
9781315215914
Nonlinear control theory.
Neural networks (Computer science)
Discrete-time systems.
Kalman filtering.
Electronic books.
003.83 / S211
Discrete-Time Inverse Optimal Control for Nonlinear Systems - Boca Raton : CRC Press, c2013. - 268 p. : 10 Color & 70 B/W ill. - System of systems engineering series . - System of systems engineering series. .
Includes bibliographical references (p. 203-219) and index.
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.
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--
Mode of access: World Wide Web.
9781315215914
Nonlinear control theory.
Neural networks (Computer science)
Discrete-time systems.
Kalman filtering.
Electronic books.
003.83 / S211