Title: Iterative learning feedback control of network inverse system

Authors: Xuelian Yang

Addresses: Department of Economics and Trade, Henan Institute of Technology, Zhengzhou, Henan 453003, China

Abstract: The traditional iterative learning feedback control has the problems of large feedback error and long searching time. Based on instruction set operation, the hardware part constructs the administrator module, the teacher module and the student module and carries on the detailed analysis. In the software design of the system, based on the system dynamics method and genetic algorithm, an iterative learning feedback controller for the network inverse system is proposed, which can effectively improve the anti-interference performance of the system. The experimental results show that the feedback error of the designed system is less than 1% and the searching time of learning materials is less than 200 ms, which proves the practicability of the designed system and lays a theoretical foundation for the further development of iterative learning feedback control of network inverse system.

Keywords: modular teaching; network inverse system; iterative learning; feedback control system.

DOI: 10.1504/IJIPT.2021.118960

International Journal of Internet Protocol Technology, 2021 Vol.14 No.4, pp.189 - 196

Received: 03 Apr 2019
Accepted: 24 Nov 2019

Published online: 15 Nov 2021 *

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