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Robust Control Systems with Genetic Algorithms
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Product Details
Author:
Mo Jamshidi, Renato A. Krohling, Leandro dos S. Coelho, Peter J. Fleming
Format:
Paperback
Pages:
232
Publisher:
CRC Press (September 19, 2019)
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9780367395728
Weight:
16oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260714044130059-20260714.xml
Folder:
TAYLORFRANCIS
List Price:
$98.99
Country of Origin:
United States
Pub Discount:
30
Case Pack:
1
As low as:
$94.04
Publisher Identifier:
P-CRC
Discount Code:
H
Imprint:
CRC Press
Overview
This text links genetic algorithms (GAs) 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 tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the use of hybrid approaches that incorporate fuzzy logic into designs for intelligent control systems. The authors consider a variety of applications, such as robotic manipulators, flexible links, and jet engines, and illustrate a multi-objective GA approach using a case study.
