Enhanced Dynamic Model of Pneumatic Muscle Actuator with Elman Neural Network
To make effective use of model-based control system design techniques, one needs a good model which captures system’s dynamic properties in the range of interest. Here an analytical model of pneumatic muscle actuator with two pneumatic artificial muscles driving a rotational joint is developed. Use...
Saved in:
Main Authors: | Alexander Hošovský, Ján Piteľ, Kamil Židek |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2015/906126 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
by: Yucong You
Published: (2022-01-01) -
Analysis of Collision Types in Collaborative Robots Using Mechanism Actuated by Pneumatic Artificial Muscle
by: Dávid Kóczi, et al.
Published: (2025-01-01) -
Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market
by: Fang Wang, et al.
Published: (2021-01-01) -
Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle
by: Ruijun Liu, et al.
Published: (2014-01-01) -
M&A Short-Term Performance Based on Elman Neural Network Model: Evidence from 2006 to 2019 in China
by: Ming Xiao, et al.
Published: (2020-01-01)