Recurrent neural network with preisach model for configuration-specific hysteresis modeling of tendon-sheath mechanism

D Kim, H Kim, S Jin - IEEE Robotics and Automation Letters, 2022 - ieeexplore.ieee.org
The tendon-sheath mechanism (TSM) is widely used for flexible surgical robots owing to its
ability to transfer motion through complicated paths and small volumes. However, precise …

Neural oscillators for magnetic hysteresis modeling

A Chandra, T Kapoor, B Daniels, M Curti… - arXiv preprint arXiv …, 2023 - arxiv.org
Hysteresis is a ubiquitous phenomenon in science and engineering; its modeling and
identification are crucial for understanding and optimizing the behavior of various systems …

Neural network-based nonlinear model predictive control with anti-dead-zone function for magnetic shape memory alloy actuator

L Su, C Zhang, Y Yu, X Zhang, CY Su, M Zhou - Nonlinear Dynamics, 2024 - Springer
Magnetic shape memory alloy-based actuator (MSMA-BA) has the advantages of large
strain and high resolution. However, the inherent hysteresis characteristics accompanied by …

[HTML][HTML] Harmonic and DC Bias Hysteresis Characteristics Simulation Based on an Improved Preisach Model

C Zhang, H Li, Y Tian, Y Li, Q Yang - Materials, 2023 - mdpi.com
Transformers, reactors and other electrical equipment often work under harmonics and DC-
bias working conditions. It is necessary to quickly and accurately simulate the hysteresis …

EIS-Based Hysteresis Modelling of LFP Cells

G Thenaisie, C Brivio - 2023 International Conference on Clean …, 2023 - ieeexplore.ieee.org
Based on recent advances in non-equilibrium thermodynamics, a new approach to the
modelling of the hysteresis of LiFePO 4 is proposed. A method for characterising the …

Thermal demagnetization characteristics of NdFeB used in eddy current dampers

Y Yang, L Li, H Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
With continuously improving NdFeB magnetic properties, eddy current dampers using
NdFeB materials as energy sources can be used in places with high energy consumption …

Feedback correcting-based GRU neural network hysteresis modeling and torsion angle compensation control of flexible joint for lightweight industrial robot

X Dang, Y Zhang - Available at SSRN 4397064 - papers.ssrn.com
In the absence of torque sensor and angle encoder at load-end, the motor driving current is
utilized to indirectly describe the load change. In this paper, based on the relationship …

Research on the linear driving characteristics of endoscopic continuous robot

Y Niu, X Jin, Z He, P Meng - Journal of Physics: Conference …, 2024 - iopscience.iop.org
Due to the way line drive, the continuous endoscope robot will have a certain lag in the
process of movement, which will affect the accuracy and flexibility of the operation. In …

Memristor based ultrasonic optimized excitations for mesoscopic nonlinear characterization of biomedical tissues

S Dos Santos, P Hemmati… - 2022 18th Biennial Baltic …, 2022 - ieeexplore.ieee.org
The electronic calibration process of the nonlin-ear time reversal based ultrasonic (US)
imaging device (TR-NEWS) including the memosducer is presented and fabricated …

[HTML][HTML] NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour

J Możaryn - Machine Intelligence and Digital Interaction …, 2022 - Springer
The electronic skin described in the article comprises screen-printed graphene-based
sensors, intended to be used for robotic applications. The precise mathematical model …