Optimization of type-2 fuzzy controllers using the bee colony algorithm /
Saved in:
| Author / Creator: | Amador, Leticia, author. |
|---|---|
| Imprint: | Cham, Switzerland : Springer, 2017. |
| Description: | 1 online resource |
| Language: | English |
| Series: | SpringerBriefs in applied sciences and technology, Computational intelligence, 2191-530X SpringerBriefs in applied sciences and technology. Computational intelligence. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11273509 |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | 11273509 | ||
| 005 | 20210625184909.3 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 170502s2017 sz ob 001 0 eng d | ||
| 015 | |a GBB8O3019 |2 bnb | ||
| 016 | 7 | |a 019182394 |2 Uk | |
| 019 | |a 985657803 |a 985949236 |a 986182837 |a 986478197 |a 986643994 |a 986834074 |a 988387383 |a 999454721 |a 1005774172 |a 1011787603 |a 1048173590 |a 1058957324 |a 1066633565 |a 1086523343 |a 1112594265 |a 1112877915 |a 1112942570 |a 1127161861 | ||
| 020 | |a 9783319542959 |q (electronic bk.) | ||
| 020 | |a 3319542958 |q (electronic bk.) | ||
| 020 | |z 9783319542942 |q (print) | ||
| 020 | |z 331954294X | ||
| 024 | 7 | |a 10.1007/978-3-319-54295-9 |2 doi | |
| 035 | |a (OCoLC)985105102 |z (OCoLC)985657803 |z (OCoLC)985949236 |z (OCoLC)986182837 |z (OCoLC)986478197 |z (OCoLC)986643994 |z (OCoLC)986834074 |z (OCoLC)988387383 |z (OCoLC)999454721 |z (OCoLC)1005774172 |z (OCoLC)1011787603 |z (OCoLC)1048173590 |z (OCoLC)1058957324 |z (OCoLC)1066633565 |z (OCoLC)1086523343 |z (OCoLC)1112594265 |z (OCoLC)1112877915 |z (OCoLC)1112942570 |z (OCoLC)1127161861 | ||
| 035 | 9 | |a (OCLCCM-CC)985105102 | |
| 037 | |a com.springer.onix.9783319542959 |b Springer Nature | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d GW5XE |d EBLCP |d YDX |d N$T |d UAB |d ESU |d AZU |d UPM |d OCLCF |d STF |d IDB |d VT2 |d OTZ |d OCLCQ |d IOG |d U3W |d MERUC |d CAUOI |d KSU |d EZ9 |d AU@ |d WYU |d OCLCQ |d UKMGB |d UKAHL |d OCLCQ |d ERF |d UKBTH |d OCLCQ | ||
| 049 | |a MAIN | ||
| 050 | 4 | |a QA9.64 | |
| 072 | 7 | |a MAT |x 000000 |2 bisacsh | |
| 072 | 7 | |a UYQ |2 bicssc | |
| 100 | 1 | |a Amador, Leticia, |e author. | |
| 245 | 1 | 0 | |a Optimization of type-2 fuzzy controllers using the bee colony algorithm / |c Leticia Amador, Oscar Castillo. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c 2017. | |
| 300 | |a 1 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, Computational intelligence, |x 2191-530X | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed May 4, 2017). | |
| 505 | 0 | |a Preface; Contents; 1 Introduction; References; 2 Theory and Background; 2.1 Fuzzy Inference System; 2.1.1 Type-1 Fuzzy Logic Systems; 2.1.2 Interval Type-2 Fuzzy Logic Systems; 2.2 Fuzzy Controllers; References; 3 Problem Statements; 3.1 Water Tank Controller; 3.1.1 Model Equations of the Water Tank; 3.1.2 Design of the Fuzzy Controller; 3.2 Autonomous Mobile Robot Controller; 3.2.1 General Description of Problem; 3.2.2 Fuzzy Logic Control Design; References; 4 Bee Colony Optimization Algorithm; 4.1 Proposed Method; References; 5 Simulation Results for the Proposed Methods. | |
| 505 | 8 | |a 5.1 Simulation Results for the Water Tank Controller5.1.1 Results for the Original Bee Colony Optimization Algorithm; 5.1.2 Results for the Fuzzy Bee Colony Optimization Algorithm for the Water Tank Controller; 5.2 Results for the Original BCO for an Autonomous Mobile Robot; 5.2.1 Results for the Fuzzy BCO for an Autonomous Mobile Robot; 6 Statistical Analysis and Comparison of Results; 7 Conclusions; Appendix; Bibliograpy; Index. | |
| 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 Fuzzy logic. |0 http://id.loc.gov/authorities/subjects/sh93006704 | |
| 650 | 0 | |a Intelligent control systems. |0 http://id.loc.gov/authorities/subjects/sh88003681 | |
| 650 | 7 | |a MATHEMATICS |x General. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Calculus of variations. |2 bicssc | |
| 650 | 7 | |a Automatic control engineering. |2 bicssc | |
| 650 | 7 | |a Numerical analysis. |2 bicssc | |
| 650 | 7 | |a Fuzzy logic. |2 fast |0 (OCoLC)fst00936807 | |
| 650 | 7 | |a Intelligent control systems. |2 fast |0 (OCoLC)fst00975911 | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Castillo, Oscar, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Amador, Leticia. |t Optimization of type-2 fuzzy controllers using the bee colony algorithm. |d Cham, Switzerland : Springer, 2017 |z 9783319542942 |z 331954294X |w (OCoLC)970684236 |
| 830 | 0 | |a SpringerBriefs in applied sciences and technology. |p Computational intelligence. |0 http://id.loc.gov/authorities/names/no2012118951 | |
| 903 | |a HeVa | ||
| 929 | |a oclccm | ||
| 999 | f | f | |i a3d50527-8e57-58cc-81b2-8b015a3f612b |s 01408aa6-bd85-51ec-9e7b-abf1caa7dbe6 |
| 928 | |t Library of Congress classification |a QA9.64 |l Online |c UC-FullText |u https://link.springer.com/10.1007/978-3-319-54295-9 |z Springer Nature |g ebooks |i 12545428 | ||