|
|
|
|
| LEADER |
02408nmm a2200361 u 4500 |
| 001 |
EB002134569 |
| 003 |
EBX01000000000000001272626 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
221201 ||| eng |
| 020 |
|
|
|a 9783031173936
|
| 100 |
1 |
|
|a Mohammadzadeh, Ardashir
|
| 245 |
0 |
0 |
|a Modern Adaptive Fuzzy Control Systems
|h Elektronische Ressource
|c by Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy
|
| 250 |
|
|
|a 1st ed. 2023
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2023, 2023
|
| 300 |
|
|
|a X, 157 p. 95 illus., 91 illus. in color
|b online resource
|
| 505 |
0 |
|
|a 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
|
| 653 |
|
|
|a Computational intelligence
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Control and Systems Theory
|
| 653 |
|
|
|a Computational Intelligence
|
| 653 |
|
|
|a Control engineering
|
| 653 |
|
|
|a Artificial intelligence
|
| 700 |
1 |
|
|a Sabzalian, Mohammad Hosein
|e [author]
|
| 700 |
1 |
|
|a Zhang, Chunwei
|e [author]
|
| 700 |
1 |
|
|a Castillo, Oscar
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Studies in Fuzziness and Soft Computing
|
| 028 |
5 |
0 |
|a 10.1007/978-3-031-17393-6
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-17393-6?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|
| 520 |
|
|
|a 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 fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language
|