Modeling of pneumatic artificial muscle using a hybrid artificial neural network approach

Author:

Song Chunsheng,Xie Shengquan,Zhou Zude,Hu Yefa

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference28 articles.

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3. Costa N, Caldwell DG. Control of a biomimetic “soft-actuated” 10 DoF lower body exoskeleton. In: Proceedings of the first IEEE/RAS-EMBS international conference on biomedical robotics and biomechatronics; 2006. p. 495–501.

4. Xing K, Xu Q, He J, Wang Y, Liu Z, Huang, X. A wearable device for repetitive hand therapy. In: Proceedings of the 2nd biennial IEEE/RAS-EMBS international conference on biomedical robotics and biomechatronics; 2008. p. 919–23 [art. no. 4762789].

5. Modeling and control of a curved pneumatic muscle actuator for wearable elbow exoskeleton;Zhang;Mechatronics,2008

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3. Comparative Modeling Study of Pneumatic Artificial Muscle Using Neural Networks, ANFIS and Curve Fitting;2023 9th International Conference on Automation, Robotics and Applications (ICARA);2023-02-10

4. Modeling and Control of Robotic Manipulators Based on Artificial Neural Networks: A Review;Iranian Journal of Science and Technology, Transactions of Mechanical Engineering;2023-01-23

5. Design and Control of the McKibben Artificial Muscles Actuated Humanoid Manipulator;Rehabilitation of the Human Bone-Muscle System;2022-10-12

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