Name: Discrete-Time Inverse Optimal Control for Nonlinear Systems (en Inglés)
Price: 134.77 USD
Availability: InStock
Author: Sanchez, Edgar N. ; Ornelas-Tellez, Fernando
ISBN: 9781138073814

portada Discrete-Time Inverse Optimal Control for Nonlinear Systems (en Inglés)

Discrete-Time Inverse Optimal Control for Nonlinear Systems (en Inglés)

Formato

Libro Físico

Autor

Edgar N. Sánchez

Fernando Ornelas-Tellez

Editorial

CRC Press

Idioma

Inglés

N° páginas

268

Encuadernación

Tapa Blanda

ISBN13

9781138073814

N° edición

Categorías

Ingeniería eléctrica
Ingeniería electrónica

Discrete-Time Inverse Optimal Control for Nonlinear Systems (en Inglés)

Edgar N. Sánchez (Autor) · Fernando Ornelas-Tellez (Autor) · CRC Press · Tapa Blanda

Libro Nuevo Importado

Envío: 24 a 32 días háb.

$ 245.03$ 134.77

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 134.77

Llega entre el 19 Ago y el 02 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Discrete-Time Inverse Optimal Control for Nonlinear Systems (en Inglés)"

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller.Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear SystemsThe book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances.Learn from Simulations and an In-Depth Case StudyThe authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels.The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.