ANFIS Controller for Non-holonomic Robots
In this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory. After a short introduction about Adaptive Neural Fuzzy Inference System, the control...
| Prif Awduron: | , , |
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| Fformat: | Erthygl |
| Iaith: | English |
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OICC Press
2024-02-01
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| Cyfres: | Majlesi Journal of Electrical Engineering |
| Pynciau: | |
| Mynediad Ar-lein: | https://oiccpress.com/mjee/article/view/5162 |
| _version_ | 1826562794956259328 |
|---|---|
| author | Ting Wang Christophe Sabourin Kourosh Madani |
| author_facet | Ting Wang Christophe Sabourin Kourosh Madani |
| author_sort | Ting Wang |
| collection | DOAJ |
| description | In this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory. After a short introduction about Adaptive Neural Fuzzy Inference System, the control strategy which is used on our virtual non-holonomic robot is described. And finally, the simulationsâ results where the robot has to pass into a narrow path and also the first validation results concerning the implementation of the proposed concepts on a real robot is given. |
| first_indexed | 2025-03-14T09:53:44Z |
| format | Article |
| id | doaj.art-5942a461180843c0b901b86279b567c5 |
| institution | Directory Open Access Journal |
| issn | 2345-377X 2345-3796 |
| language | English |
| last_indexed | 2025-03-14T09:53:44Z |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj.art-5942a461180843c0b901b86279b567c52025-03-02T11:24:01ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-015210.82830/mjee-2024-8gdtANFIS Controller for Non-holonomic RobotsTing Wang0Christophe Sabourin1Kourosh Madani2UnknownUnknownUnknownIn this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory. After a short introduction about Adaptive Neural Fuzzy Inference System, the control strategy which is used on our virtual non-holonomic robot is described. And finally, the simulationsâ results where the robot has to pass into a narrow path and also the first validation results concerning the implementation of the proposed concepts on a real robot is given.https://oiccpress.com/mjee/article/view/5162ANFISControllernonholonomic robot.Robot |
| spellingShingle | Ting Wang Christophe Sabourin Kourosh Madani ANFIS Controller for Non-holonomic Robots Majlesi Journal of Electrical Engineering ANFIS Controller nonholonomic robot. Robot |
| title | ANFIS Controller for Non-holonomic Robots |
| title_full | ANFIS Controller for Non-holonomic Robots |
| title_fullStr | ANFIS Controller for Non-holonomic Robots |
| title_full_unstemmed | ANFIS Controller for Non-holonomic Robots |
| title_short | ANFIS Controller for Non-holonomic Robots |
| title_sort | anfis controller for non holonomic robots |
| topic | ANFIS Controller nonholonomic robot. Robot |
| url | https://oiccpress.com/mjee/article/view/5162 |
| work_keys_str_mv | AT tingwang anfiscontrollerfornonholonomicrobots AT christophesabourin anfiscontrollerfornonholonomicrobots AT kouroshmadani anfiscontrollerfornonholonomicrobots |