Name: Robust Control Systems With Genetic Algorithms (Control Series) (en Inglés)
Price: 110270.00 CLP
Availability: InStock
Author: Mo Jamshidi Renato A. Krohling Leandro Dos S. Coelho Peter J. Fleming
ISBN: 9780849312519

portada Robust Control Systems With Genetic Algorithms (Control Series) (en Inglés)

Formato

Libro Físico

Editorial

Taylor & Francis Ltd

Autor

Mo Jamshidi Renato A. Krohling Leandro Dos S. Coelho Peter J. Fleming

Idioma

Inglés

N° páginas

232

Encuadernación

Tapa Dura

ISBN13

9780849312519

Robust Control Systems With Genetic Algorithms (Control Series) (en Inglés)

Mo Jamshidi Renato A. Krohling Leandro Dos S. Coelho Peter J. Fleming (Autor) · Taylor & Francis Ltd · Tapa Dura

Libro Físico

$ 110.270

$ 220.540

Ahorras: $ 110.270

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 20 de Junio y el Martes 02 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Robust Control Systems With Genetic Algorithms (Control Series) (en Inglés)"

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.