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Journal Articles

Dynamic Control of Cardboard-Blank Picking by Using Reinforcement Learning

Michele Angelini, Riccardo Mancini, Davide Baraccani, Dario Rea, Marco Carricato

Publisher: ASME

J. Dyn. Sys., Meas., Control. March 2025, 147(2): 024501.

Paper No: DS-24-1056

https://doi.org/10.1115/1.4066871

Published Online: November 20, 2024

View Article titled, Dynamic Control of Cardboard-Blank Picking by Using Reinforcement Learning

Topics: Blanks, Control equipment, Machinery, Paperboard, Vacuum, Reinforcement learning, Algorithms, Suction

Journal Articles

Optimal Control of Material Microstructures

Aayushman Sharma, Zirui Mao, Haiying Yang, Suman Chakravorty, Michael J. Demkowicz, Dileep Kalathil

Publisher: ASME

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061109.

Paper No: DS-23-1360

https://doi.org/10.1115/1.4065801

Published Online: August 24, 2024

View Article titled, Optimal Control of Material Microstructures

Topics: Algorithms, Dynamics (Mechanics), Feedback, Optimal control, Optimization, Trajectories (Physics), Noise (Sound), Partial differential equations, Reinforcement learning

Journal Articles

State Identification Via Symbolic Time Series Analysis for Reinforcement Learning Control

Chandrachur Bhattacharya, Asok Ray

Publisher: ASME

J. Dyn. Sys., Meas., Control. September 2024, 146(5): 054501.

Paper No: DS-23-1270

https://doi.org/10.1115/1.4065501

Published Online: May 24, 2024

View Article titled, State Identification Via Symbolic Time Series Analysis for Reinforcement Learning Control

Topics: Algorithms, Control equipment, Probability, Reinforcement learning, Time series, Dynamic systems, Eigenvalues, Machinery

Journal Articles

Safe Reinforcement Learning-Based Balance Control for Multi-Cylinder Hydraulic Press

Chao Jia, Zijian Song, Lifeng Du, Hongkun Wang

Publisher: ASME

J. Dyn. Sys., Meas., Control. July 2024, 146(4): 041006.

Paper No: DS-23-1183

https://doi.org/10.1115/1.4064992

Published Online: April 5, 2024

View Article titled, Safe Reinforcement Learning-Based Balance Control for Multi-Cylinder Hydraulic Press

Topics: Algorithms, Cylinders, Hydraulic presses, Reinforcement learning, Safety, Errors, Stress

Journal Articles

Nonlinear Filtering and Reinforcement Learning Based Consensus Achievement of Uncertain Multi-Agent Systems

Kaustav Jyoti Borah

Publisher: ASME

J. Dyn. Sys., Meas., Control. May 2024, 146(3): 031009.

Paper No: DS-22-1309

https://doi.org/10.1115/1.4064601

Published Online: March 13, 2024

View Article titled, Nonlinear Filtering and Reinforcement Learning Based Consensus Achievement of Uncertain Multi-Agent Systems

Topics: Actuators, Algorithms, Computer simulation, Control equipment, Design, Errors, Filtration, Flaw detection, Multi-agent systems, Noise (Sound)

Journal Articles

Model-Free H ∞ Output Feedback Control of Road Sensing in Vehicle Active Suspension Based on Reinforcement Learning

Gang Wang, Kunpeng Li, Suqi Liu, Hui Jing

Publisher: ASME

J. Dyn. Sys., Meas., Control. June 2023, 145(6): 061003.

Paper No: DS-22-1336

https://doi.org/10.1115/1.4062342

Published Online: May 2, 2023

View Article titled, Model-Free H ∞ Output Feedback Control of Road Sensing in Vehicle Active Suspension Based on Reinforcement Learning

Topics: Algorithms, Feedback, Reinforcement learning, Roads, Suspension systems, Vehicles, Optimal control

Journal Articles

Vision-Based Uncertainty-Aware Lane Keeping Strategy Using Deep Reinforcement Learning

Myounghoe Kim, Joohwan Seo, Mingoo Lee, Jongeun Choi

Publisher: ASME

J. Dyn. Sys., Meas., Control. August 2021, 143(8): 084503.

Paper No: DS-20-1234

https://doi.org/10.1115/1.4050396

Published Online: April 1, 2021

View Article titled, Vision-Based Uncertainty-Aware Lane Keeping Strategy Using Deep Reinforcement Learning

Topics: Errors, Reinforcement learning, Uncertainty, Vehicles, Roads, Yaw, Control equipment

Journal Articles

Reinforcement Learning for Active Noise Control in a Hydraulic System

Eric R. Anderson, Brian L. Steward

Publisher: ASME

J. Dyn. Sys., Meas., Control. June 2021, 143(6): 061006.

Paper No: DS-20-1029

https://doi.org/10.1115/1.4049556

Published Online: February 1, 2021

View Article titled, Reinforcement Learning for Active Noise Control in a Hydraulic System

Topics: Actuators, Control equipment, Hydraulic drive systems, Noise (Sound), Noise control, Pressure, Pumps, Reinforcement learning, Signal processing, Displacement

Journal citation

NARROW

Dynamic Control of Cardboard-Blank Picking by Using Reinforcement Learning

Optimal Control of Material Microstructures

State Identification Via Symbolic Time Series Analysis for Reinforcement Learning Control

Safe Reinforcement Learning-Based Balance Control for Multi-Cylinder Hydraulic Press

Nonlinear Filtering and Reinforcement Learning Based Consensus Achievement of Uncertain Multi-Agent Systems

Model-Free H ∞ Output Feedback Control of Road Sensing in Vehicle Active Suspension Based on Reinforcement Learning

Vision-Based Uncertainty-Aware Lane Keeping Strategy Using Deep Reinforcement Learning

Reinforcement Learning for Active Noise Control in a Hydraulic System

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