Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture
The control of closed architecture industrial optical tweezers systems presents substantial challenges due to the limited knowledge of inner controller configurations and control gain structures. Conventional methods, such as the computed-torque approach, often prove inadequate for closed architectu...
Saved in:
Main Authors: | Gulam Dastagir Khan, Ibrahim Al-Naimi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10870221/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Scale Robotics: A Numerical Investigation on Mobile Micro-Tweezers for Micro-Manipulation with Extreme Requirements
by: Ahmet Fatih Tabak
Published: (2024-12-01) -
Diverse single-stranded nucleic acid binding proteins enable both stable protection and rapid exchange required for biological function
by: Michael Morse, et al.
Published: (2025-01-01) -
Mode-Voltage Constrained Control for Adaptive Optics System
by: Ruitao Wang, et al.
Published: (2024-01-01) -
Probing the chirality of a single microsphere trapped by a focused vortex beam through its orbital period
by: Diniz Kainã, et al.
Published: (2025-01-01) -
Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry
by: Kristýna Šleglová, et al.
Published: (2025-01-01)