Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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1.60

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Bing Ren1,2 , Guangqing Bao3This email address is being protected from spambots. You need JavaScript enabled to view it.

1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China

2School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China

3School of Electronics & Information Engineering, Southwest Petroleum University, Chengdu, China


 

Received: December 5, 2022
Accepted: March 13, 2023
Publication Date: June 17, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202402_27(2).0004  


This paper studies the quantized output data observer-based data-driven model-free adaptive control(qMFAC) for discrete-time nonlinear systems with unknown structures and network transmission constraints. First, an adaptive observer based on quantized output data is generated with the use of a logarithmic quantizer, and a pseudo-biased derivative(PPD) estimation scheme based on the output quantized data observer is proposed. By dynamic linearization(DL) techniques, a incomplete equivalent data model containing quantized output data are built. Then, the observer output is used to develop a data-driven model-free adaptive control strategy that only makes use of quantified output and input. With the Lyapunov function and sector boundary approaches, the bounded tracking performance of the proposed qMFAC is strictly theoretical analyzed, and the effectiveness of qMFAC is verified through numerical simulation and simulation experiments of the shell and tube heat exchanger control system.


Keywords: Quantized output data; Adaptive observer; Data-driven; Logarithmic quantizer; Pseudo-partial derivative;


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