Logo - springer
Slogan - springer

Mathematics | Foundations of Generic Optimization - Volume 2: Applications of Fuzzy Control, Genetic Algorithms

Foundations of Generic Optimization

Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks

Lowen, R., Verschoren, A. (Eds.)

2008

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$89.99

(net) price for USA

ISBN 978-1-4020-6668-9

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$119.00

(net) price for USA

ISBN 978-1-4020-6667-2

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$119.00

(net) price for USA

ISBN 978-90-481-7695-3

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Timeliness of the comprehensive overview of fuzzy control
  • Large body of authors, specialists in the field
  • Articles with varied range of applications
  • Specialist up-to-date research articles plus a comprehensive introduction to the field in one and the same work

This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks.

This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field. It will appeal to researchers and professionals in soft computing, in particular in development of theory and applications of fuzzy logic, genetic algorithms and neural networks.

Content Level » Research

Keywords » Scheduling - algorithms - brandonwis - calculus - fuzzy control - genetic algorithms - logic - modeling - optimization

Related subjects » Mathematics - Theoretical Computer Science

Table of contents 

An Overview of Fuzzy Control Theory.- Optimal Fuzzy Management of Reservoir based on Genetic Algorithm.- Genetic Fuzzy Modeling of Supervisory Scheduling of Freight Rail Systems.- Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems.- An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance.- Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation.- Intelligent Fuzzy PID Controller.- Stability Analysis and Performance Design for Fuzzy Model-based Control Systems using a BMI-based Approach.- Two-Level Tuning of Fuzzy PID Controllers for Multivariable Process Systems.- Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT using MATLAB GUI.- FzController: A Development Environment for Fuzzy Controllers.- A Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.- An Asymptotic Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Optimization.