Skip Nav Destination
Issues
April 2025
In Progress
ISSN 2689-6117
EISSN 2689-6125
In this Issue
Research Papers
An Approach to Realize Generalized Optimal Motion Primitives Using Physics Informed Neural Networks
Letters Dyn. Sys. Control. April 2025, 5(2): 021001.
doi: https://doi.org/10.1115/1.4066627
Topics:
Artificial neural networks
,
Physics
,
Robotics
,
Robots
,
Machine learning
,
Trajectories (Physics)
,
Errors
Human-Centered Coordination for Robot-Assisted Equipment Transport
Letters Dyn. Sys. Control. April 2025, 5(2): 021002.
doi: https://doi.org/10.1115/1.4066870
Topics:
Robots
Minimum-Time Control of a Linear System With Input Saturation: A Practical Approach
Letters Dyn. Sys. Control. April 2025, 5(2): 021003.
doi: https://doi.org/10.1115/1.4066831
Technical Brief
Sharp Curve Trajectory Tracking of a Universal Omni-Wheeled Mobile Robot Using a Sliding Mode Controller
Letters Dyn. Sys. Control. April 2025, 5(2): 024501.
doi: https://doi.org/10.1115/1.4066937
Topics:
Control equipment
,
Mobile robots
,
Momentum
,
Robots
,
Sliding mode control
,
Trajectories (Physics)
,
Dynamic models
,
Dynamic modeling
Email alerts
RSS Feeds
Minimum-Time Control of a Linear System With Input Saturation: A Practical Approach
Letters Dyn. Sys. Control (April 2025)
Sharp Curve Trajectory Tracking of a Universal Omni-Wheeled Mobile Robot Using a Sliding Mode Controller
Letters Dyn. Sys. Control (April 2025)
ASME Letters in Dynamic Systems and Control Editorial (for Jan 2025 Issue)
Letters Dyn. Sys. Control
Human-Centered Coordination for Robot-Assisted Equipment Transport
Letters Dyn. Sys. Control (April 2025)
An Approach to Realize Generalized Optimal Motion Primitives Using Physics Informed Neural Networks
Letters Dyn. Sys. Control (April 2025)