Data-driven model free adaptive control for block-connected systems

Author

Zhu, Yuanming ; Hou, Zhongsheng ; Jin, Shangtai

Author_Institution

Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China

fYear

2012

fDate

6-8 July 2012

Firstpage

2827

Lastpage

2832

Abstract

Data-driven model free adaptive control (MFAC) is presented for three kinds of block-connected discrete-time nonlinear systems, describing by cascaded connection, parallel connection and feedback connection. The proposed data-driven MFAC means that the controller is designed merely using the measured input-output data of controlled system without any explicit or implicit use of the plant model. The stability of the data-driven MFAC is guaranteed by rigorous theoretical analysis and the effectiveness is verified by simulation results.

Keywords

adaptive control; cascade control; control system synthesis; discrete time systems; feedback; nonlinear control systems; stability; block-connected discrete-time nonlinear system; cascaded connection; controller design; data-driven MFAC; data-driven model free adaptive control; feedback connection; input-output data; parallel connection; plant model; stability; Adaptation models; Adaptive control; Control systems; Data models; Estimation; Mathematical model; Nonlinear systems; Cascade Connection System; Data-driven Control; Feedback Connection System; Model Free Adaptive Control; Parallel Connection System;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6358352

Filename

6358352