Name: Robust Control Systems With Genetic Algorithms (en Inglés)
Price: 224.55 PEN
Availability: InStock
Author: Mo Jamshidi; Renato A. Krohling; Leandro Dos S. Coelho; Peter J. Fleming
ISBN: 9780367395728

portada Robust Control Systems With Genetic Algorithms (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

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

Idioma

Inglés

N° páginas

232

Encuadernación

Tapa Blanda

ISBN13

9780367395728

N° edición

Robust Control Systems With Genetic Algorithms (en Inglés)

Mo Jamshidi; Renato A. Krohling; Leandro Dos S. Coelho; Peter J. Fleming (Autor) · Crc Press · Tapa Blanda

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S/ 224,55

S/ 449,09

Ahorras: S/ 224,55

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Robust Control Systems With Genetic Algorithms (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.