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Journal Articles

On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation

Accepted Manuscript
Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control.
Paper No: ALDSC-24-1034
https://doi.org/10.1115/1.4066629
Published Online: September 24, 2024
View Article titled, On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation
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Topics: Robots, Design, Human-robot interaction, Dynamics (Mechanics), Errors, Machine learning, Machinery, Modeling, Robotics, Robustness
Journal Articles

State of Charge Estimation of Lithium-Ion Batteries Using Physics-Informed Transformer for Limited Data Scenarios

Hyunjin Ahn, Heran Shen, Xingyu Zhou, Yung-Chi Kung, Junmin Wang
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. October 2023, 3(4): 041002.
Paper No: ALDSC-23-1037
https://doi.org/10.1115/1.4063995
Published Online: December 7, 2023
View Article titled, State of Charge Estimation of Lithium-Ion Batteries Using Physics-Informed Transformer for Limited Data Scenarios
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Topics: Artificial neural networks, Batteries, Cycles, Dynamics (Mechanics), Electrolytes, Errors, Lithium-ion batteries, Particulate matter, Physics, Temperature
Journal Articles

Data-Based On-Board Diagnostics for Diesel Engine NOx-Reduction Aftertreatment Systems

Atharva Tandale, Kaushal Jain, Peter Meckl
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2023, 3(2): 021009.
Paper No: ALDSC-23-1043
https://doi.org/10.1115/1.4063473
Published Online: October 25, 2023
View Article titled, Data-Based On-Board Diagnostics for Diesel Engine NOx-Reduction Aftertreatment Systems
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Topics: Catalysts, Filters, Nitrogen oxides, Trucks, Diesel, Machine learning, Selective catalytic reduction, Diesel engines, Filtration, Temperature
Journal Articles

Automated Flow Pattern Recognition for Liquid–Liquid Flow in Horizontal Pipes Using Machine-Learning Algorithms and Weighted Majority Voting

Md Ferdous Wahid, Reza Tafreshi, Zurwa Khan, Albertus Retnanto
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. January 2023, 3(1): 011003.
Paper No: ALDSC-22-1030
https://doi.org/10.1115/1.4056903
Published Online: February 28, 2023
View Article titled, Automated Flow Pattern Recognition for Liquid–Liquid Flow in Horizontal Pipes Using Machine-Learning Algorithms and Weighted Majority Voting
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Topics: Algorithms, Flow (Dynamics), Machine learning, Pipes, Water, Fluids
Journal Articles

Assessing Impact of Understory Vegetation Density on Solid Obstacle Detection for Off-Road Autonomous Ground Vehicles

Morteza Foroutan, Wenmeng Tian, Christopher T. Goodin
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021008.
Paper No: ALDSC-20-1016
https://doi.org/10.1115/1.4047816
Published Online: August 3, 2020
View Article titled, Assessing Impact of Understory Vegetation Density on Solid Obstacle Detection for Off-Road Autonomous Ground Vehicles
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Topics: Algorithms, Density, Roads, Vehicles, Machine learning, Simulation
Journal Articles

Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation

Ritika Sibal, Ding Zhang, Julie Rocho-Levine, K. Alex Shorter, Kira Barton
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021002.
Paper No: ALDSC-19-1081
https://doi.org/10.1115/1.4046685
Published Online: April 8, 2020
View Article titled, Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation
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Topics: Artificial neural networks, Machine learning, Probability, Sensors, State estimation, Signals, Support vector machines, Image segmentation, Testing