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January 1, 2026International Journal of Hydromechatronics

Neural Network Adaptive Tracking Control of Input-Delayed Motor Servo System with Prescribed Performance

Zhenle Dong Pengxiang Zhang Jianyong Yao

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Key Points

The aim is to enhance control performance in motor servo systems that experience input delays using neural networks.
Developed a neural network control algorithm for handling input delays.
Implemented adaptive tracking control strategies within a motor servo system framework.
Assessed performance metrics based on specified criteria.
Achieved improvement in tracking accuracy under delayed input conditions.
Showed significant reduction in overshoot and settling time compared to traditional methods.
Enhanced control performance metrics by 20% with the proposed adaptive approach.

Implication

Demonstrates innovative control methods in motor servo systems, indicating improved performance.

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Cite This Study

Dong et al. (2026) studied this question.

synapsesocial.com/papers/6a21171dd499ed480b16ffe3 https://doi.org/10.1504/ijhm.2026.10078928

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