Virtual Reference Feedback Tuning-based Model-Free Adaptive Displacement Control for Tap-Water-Driven Artificial Muscle and Robustness Evaluation to Load

Author:

Tsuruhara Satoshi1,Ito Kazuhisa2

Affiliation:

1. Satoshi Tsuruhara with Graduate School of Mechanical Engineering, Shibaura Institute of Technology,Minuma,Saitama,Japan,3378570

2. Shibaura Institute of Technology,Department of Machinery and Control Systems,Minuma,Saitama,Japan,3378570

Publisher

IEEE

Reference21 articles.

1. Data-driven tuning of nonlinear internal model controllers for pneumatic artificial muscles

2. Pneumatic artificial muscle-driven robot control using local update reinforcement learning

3. Prescribed performance model-free adaptive terminal sliding mode control for the pneumatic artificial muscles elbow exoskeleton

4. High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence

5. Comparison of model-free adaptive displacement control and model predictive displacement control for tap-water-driven muscle considering load variation during experiments;tsuruhara;Proceedings of the 11th International Symposium on Fluid Power HAKODATE2020 OS4–2-02,0

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive FRIT-Based Recursive Robust Controller Design Using Forgetting Factors;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

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