Model free adaptive control with data dropouts

被引：105

作者：

Hou, Zhongsheng ^{[1
]}

Bu, Xuhui ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Adv Control Syst Lab, Beijing 100044, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 08期

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Model free adaptive control; Data dropouts; Robustness; Intermittent measurement; NETWORKED CONTROL-SYSTEMS; ITERATIVE LEARNING CONTROL; DESIGN; STABILIZATION;

D O I：

10.1016/j.eswa.2011.01.158

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is well-known that robustness refers to the ability dealing with unknown uncertainties or unmodeled dynamics of the model-based control theory. However, this kind of robustness no longer has any significance for model free or data-driven control theory because the controller is designed only using I/O data of the controlled plant. In this paper, a novel robustness of the model free control or data-driven control is presented when the system is controlled by the model free adaptive control (MFAC) scheme. It is assumed that an MFAC scheme is implemented via a network control system and that data dropout occurs due to a failing sensor, actuator or network failure, resulting in what it is called intermittent MFAC. The stability of such a MFAC scheme is analyzed by the statistical approach. It is shown that the MFAC system is still stable when data dropout occurs, and the data dropout impacts the convergence speed. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：10709 / 10717

页数：9

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