Echo State Network-Enhanced Super-Twisting Control of Passive Gait Training Exoskeleton Driven by Pneumatic Muscles-Reference-Cited by-同舟云学术

Echo State Network-Enhanced Super-Twisting Control of Passive Gait Training Exoskeleton Driven by Pneumatic Muscles

Published:2022-12 Issue:6 Volume:27 Page:5107-5118
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Zhang Mengshi¹^ORCID,Huang Jian¹^ORCID,Cao Yu¹^ORCID,Xiong Cai-Hua²^ORCID,Mohammed Samer³^ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. School of Mechanical Science and Engineering, and the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China

3. Université Paris Est Créteil, Vitry, France

Funder

International Science and Technology Cooperation Program of China

National Natural Science Foundation of China

Technology Innovation Project of Hubei Province of China

China Postdoctoral Science Foundation

Fund from Science, Technology, Innovation Commission of Shenzhen Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/3516/9985401/09781428.pdf?arnumber=9781428

Reference33 articles.

1. Fast subsampled-updating stabilized fast transversal filter (FSU SFTF) RLS algorithm for adaptive filtering

2. Finite Control Set Model Predictive Control of AC/DC Matrix Converter for Grid-Connected Battery Energy Storage Application

3. Analysis and design optimization of an ejector integrated into an organic Rankine cycle

4. A virtual synchronous generator based inverter control method for distributed generation systems

5. An Echo State Gaussian Process-Based Nonlinear Model Predictive Control for Pneumatic Muscle Actuators

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