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Information Journal Paper

Title

ANFIS CONTROLLER FOR NON-HOLONOMIC ROBOTS

Pages

  31-37

Abstract

 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 simulations’ 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.

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  • Cite

    APA: Copy

    WANG, TING, SABOURIN, CHRISTOPHE, & MADANI, KUROSH. (2011). ANFIS CONTROLLER FOR NON-HOLONOMIC ROBOTS. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 5(2 (17)), 31-37. SID. https://sid.ir/paper/626413/en

    Vancouver: Copy

    WANG TING, SABOURIN CHRISTOPHE, MADANI KUROSH. ANFIS CONTROLLER FOR NON-HOLONOMIC ROBOTS. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2011;5(2 (17)):31-37. Available from: https://sid.ir/paper/626413/en

    IEEE: Copy

    TING WANG, CHRISTOPHE SABOURIN, and KUROSH MADANI, “ANFIS CONTROLLER FOR NON-HOLONOMIC ROBOTS,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 5, no. 2 (17), pp. 31–37, 2011, [Online]. Available: https://sid.ir/paper/626413/en

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