Data-Driven Digital Direct Position Servo Control by Neural Network With Implicit Optimal Control Law Learned From Discrete Optimal Position Tracking Data

Data-Driven Digital Direct Position Servo Control by Neural Network With Implicit Optimal Control Law Learned From Discrete Optimal Position Tracking Data

To get better control performance in motor control, more and more researches tend to apply non-linear control laws in the field of motor control. However, most conventional non-linear control theory is based on explicit model of controlled object and often resulting in complexity. Besides, the contr...

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Bibliographic Details
Main Authors: Baochao Wang, Cheng Liu, Sainan Chen, Shili Dong, Jianhui Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Position control
implicit discrete optimal control
artificial neural network
motor
data learning
Online Access:https://ieeexplore.ieee.org/document/8817954/

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