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Journal Articles

Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems

Yejiang Yang, Zihao Mo, Weiming Xiang

Publisher: ASME

Letters Dyn. Sys. Control. January 2025, 5(1): 011001.

Paper No: ALDSC-24-1036

https://doi.org/10.1115/1.4066516

Published Online: October 3, 2024

View Article titled, Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems

Topics: Artificial neural networks, Dynamic systems, Dynamics (Mechanics), Modeling, Entropy

Journal Articles

Learning-based Predictive LPV Control of Atmospheric Pressure Plasma Jets

Pegah GhafGhanbari, Javad Mohammadpour Velni

Publisher: ASME

Letters Dyn. Sys. Control.

Paper No: ALDSC-24-1030

https://doi.org/10.1115/1.4066723

Published Online: September 30, 2024

View Article titled, Learning-based Predictive LPV Control of Atmospheric Pressure Plasma Jets

Topics: Artificial neural networks, Atmospheric pressure, Plasma jets, Predictive control, Design, Dynamics (Mechanics), Engineering simulation, Optimization, Robust control, Simulation

Journal Articles

An Approach to Realize Generalized Optimal Motion Primitives using Physics Informed Neural Networks

Jonathon Slightam, Andrew Steyer, Logan Beaver, Carol Young

Publisher: ASME

Letters Dyn. Sys. Control.

Paper No: ALDSC-24-1041

https://doi.org/10.1115/1.4066627

Published Online: September 24, 2024

View Article titled, An Approach to Realize Generalized Optimal Motion Primitives using Physics Informed Neural Networks

Topics: Artificial neural networks, Physics, Robotics

Journal Articles

Reviewer’s Recognition

Publisher: ASME

Letters Dyn. Sys. Control. April 2024, 4(2): 020201.

Paper No: ALDSC-24-1007

https://doi.org/10.1115/1.4064799

Published Online: February 26, 2024

View Article titled, Reviewer’s Recognition

Topics: Artificial neural networks, Dynamic systems, Non-governmental organizations

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

Publisher: ASME

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

Topics: Artificial neural networks, Batteries, Cycles, Dynamics (Mechanics), Electrolytes, Errors, Lithium-ion batteries, Particulate matter, Physics, Temperature

Journal Articles

Eco-Driving Control of Connected and Automated Vehicles Using Neural Network–Based Rollout

Jacob Paugh, Zhaoxuan Zhu, Shobhit Gupta, Marcello Canova, Stephanie Stockar

Publisher: ASME

Letters Dyn. Sys. Control. October 2023, 3(4): 041004.

Paper No: ALDSC-23-1044

https://doi.org/10.1115/1.4064089

Published Online: December 7, 2023

View Article titled, Eco-Driving Control of Connected and Automated Vehicles Using Neural Network–Based Rollout

Topics: Artificial neural networks, Autonomous vehicles, Optimization, Vehicles, Algorithms

Journal Articles

Adaptive Artificial Neural Network-Based Control Through Attracting-Manifold Design and Lipschitz Constant Projection

Xingyu Zhou, John Maweu, Junmin Wang

Publisher: ASME

Letters Dyn. Sys. Control. April 2023, 3(2): 021006.

Paper No: ALDSC-23-1017

https://doi.org/10.1115/1.4063474

Published Online: October 25, 2023

View Article titled, Adaptive Artificial Neural Network-Based Control Through Attracting-Manifold Design and Lipschitz Constant Projection

Topics: Adaptive control, Artificial neural networks, Design, Dynamics (Mechanics), Manifolds, Stability, Control equipment, Robustness

Journal Articles

Reinforcement Learning Based Aircraft Controller Enhanced By Gaussian Process Trim Finding

Hady Benyamen, Mozammal Chowdhury, Shawn Keshmiri

Publisher: ASME

Letters Dyn. Sys. Control. July 2023, 3(3): 031002.

Paper No: ALDSC-23-1008

https://doi.org/10.1115/1.4063605

Published Online: October 25, 2023

View Article titled, Reinforcement Learning Based Aircraft Controller Enhanced By Gaussian Process Trim Finding

Topics: Aircraft, Algorithms, Control equipment, Flight, Reinforcement learning, Errors, Artificial neural networks

Journal Articles

Deep Learning for Continuous-Time Leader Synchronization in Graphical Games Using Sampling and Deep Neural Networks

Da Zhang, Junaid Anwar, Syed Ali Asad Rizvi, Yusheng Wei

Publisher: ASME

Letters Dyn. Sys. Control. July 2023, 3(3): 031004.

Paper No: ALDSC-23-1041

https://doi.org/10.1115/1.4063607

Published Online: October 25, 2023

View Article titled, Deep Learning for Continuous-Time Leader Synchronization in Graphical Games Using Sampling and Deep Neural Networks

Topics: Artificial neural networks, Synchronization, Errors

Journal Articles

A Fault Diagnosis Tool for Electrohydraulic Actuators

Bharath Sivaram, Zongxuan Sun

Publisher: ASME

Letters Dyn. Sys. Control. April 2023, 3(2): 021001.

Paper No: ALDSC-23-1015

https://doi.org/10.1115/1.4063396

Published Online: October 5, 2023

View Article titled, A Fault Diagnosis Tool for Electrohydraulic Actuators

Topics: Actuators, Artificial neural networks, Fault diagnosis, Pressure, Signals, Simulation, Bulk modulus, Valves, Friction, Leakage

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

Publisher: ASME

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

Topics: Artificial neural networks, Machine learning, Probability, Sensors, State estimation, Signals, Support vector machines, Image segmentation, Testing

Journal Articles

Learning Flatness-Based Controller Using Neural Networks

Hailin Ren, Jingyuan Qi, Pinhas Ben-Tzvi

Publisher: ASME

Letters Dyn. Sys. Control. April 2021, 1(2): 021003.

Paper No: ALDSC-19-1068

https://doi.org/10.1115/1.4046776

Published Online: April 8, 2020

View Article titled, Learning Flatness-Based Controller Using Neural Networks

Topics: Artificial neural networks, Control equipment, Trajectories (Physics), Design

Journal citation

NARROW

Manuscript

Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems

Learning-based Predictive LPV Control of Atmospheric Pressure Plasma Jets

An Approach to Realize Generalized Optimal Motion Primitives using Physics Informed Neural Networks

Reviewer’s Recognition

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

Eco-Driving Control of Connected and Automated Vehicles Using Neural Network–Based Rollout

Adaptive Artificial Neural Network-Based Control Through Attracting-Manifold Design and Lipschitz Constant Projection

Reinforcement Learning Based Aircraft Controller Enhanced By Gaussian Process Trim Finding

Deep Learning for Continuous-Time Leader Synchronization in Graphical Games Using Sampling and Deep Neural Networks

A Fault Diagnosis Tool for Electrohydraulic Actuators

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

Learning Flatness-Based Controller Using Neural Networks

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