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...
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Main Authors: | Gulam Dastagir Khan, Ibrahim Al-Naimi |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10870221/ |
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