Modern Adaptive Fuzzy Control Systems [E-Book] / by Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy.
This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fiel...
Saved in:
Full text |
|
Personal Name(s): | Mohammadzadeh, Ardashir, author |
Castillo, Oscar, author / El-Sousy, Fayez F. M., author / Sabzalian, Mohammad Hosein, author / Sakthivel, Rathinasamy, author / Zhang, Chunwei, author | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
X, 157 pages 95 illustrations, 91 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031173936 |
DOI: |
10.1007/978-3-031-17393-6 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Studies in Fuzziness and Soft Computing ;
421 |
Subject (LOC): |
- Chapter 1: An Introduction to Fuzzy and Fuzzy Control Systems
- Chapter 2: Classification of Adaptive Fuzzy Controllers
- Chapter 3: Type-2 Fuzzy Systems
- Chapter 4: Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation.