Name: Model-Free Stabilization by Extremum Seeking (Springerbriefs in Electrical and Computer Engineering) (en Inglés)
SKU: 50879039
Price: 213.94 PEN
Availability: InStock
Author: Alexander Scheinker; Miroslav Krstic
ISBN: 9783319507897

portada Model-Free Stabilization by Extremum Seeking (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Model-Free Stabilization by Extremum Seeking (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Alexander Scheinker; Miroslav Krstic

Año

2016

Idioma

Inglés

N° páginas

140

Encuadernación

Tapa Blanda

ISBN13

9783319507897

N° edición

Categorías

Cálculo

Model-Free Stabilization by Extremum Seeking (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Alexander Scheinker; Miroslav Krstic (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 13 a 18 días háb.

S/ 475,42S/ 213,94

-55%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

S/ 213,94

Llega entre el 17 Sep y el 25 Sep a CERCADO DE LIMA, Lima. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Model-Free Stabilization by Extremum Seeking (Springerbriefs in Electrical and Computer Engineering) (en Inglés)"

With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but in a time-average sense. Rather than use integrals of the systems vector field, we employ Lie-bracket-based (i.e., derivative-based) averaging. The brief contains numerous examples and applications, including examples with unknown control directions and experiments with charged particle accelerators. It is intended for theoretical control engineers and mathematicians, and practitioners working in various industrial areas and in robotics.