|
|
|
|
| LEADER |
03033nam a22005655i 4500 |
| 001 |
978-3-319-54295-9 |
| 003 |
DE-He213 |
| 005 |
20170429055205.0 |
| 007 |
cr nn 008mamaa |
| 008 |
170429s2017 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783319542959
|9 978-3-319-54295-9
|
| 024 |
7 |
|
|a 10.1007/978-3-319-54295-9
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a Q342
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a COM004000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 006.3
|2 23
|
| 100 |
1 |
|
|a Amador, Leticia.
|e author.
|
| 245 |
1 |
0 |
|a Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
|h [electronic resource] /
|c by Leticia Amador, Oscar Castillo.
|
| 264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
|
| 300 |
|
|
|a VIII, 71 p. 40 illus., 31 illus. in color.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
|
| 505 |
0 |
|
|a Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions.
|
| 520 |
|
|
|a This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.
|
| 650 |
|
0 |
|a Engineering.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Algorithms.
|
| 650 |
|
0 |
|a Calculus of variations.
|
| 650 |
|
0 |
|a Computational intelligence.
|
| 650 |
|
0 |
|a Control engineering.
|
| 650 |
|
0 |
|a Robotics.
|
| 650 |
|
0 |
|a Mechatronics.
|
| 650 |
1 |
4 |
|a Engineering.
|
| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Calculus of Variations and Optimal Control; Optimization.
|
| 650 |
2 |
4 |
|a Control, Robotics, Mechatronics.
|
| 650 |
2 |
4 |
|a Algorithms.
|
| 700 |
1 |
|
|a Castillo, Oscar.
|e author.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319542942
|
| 830 |
|
0 |
|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-54295-9
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
