Title: Multiple U-model control of uncertain discrete-time nonlinear systems

Authors: Weicun Zhang; Zhaolong Zhang; Qing Li; Zhuoer Xue

Addresses: Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 10083, China ' Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 10083, China ' Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 10083, China ' Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 10083, China

Abstract: Based on U-model concept and multiple model methodology, this paper presents a weighted multiple U-model control scheme to address the control problem of some classes of discrete-time nonlinear systems with large parameter uncertainties including parameter jumps, which is a difficult problem without a unified solution up to now. Simulation results on two types of non-linear systems with large parameter uncertainties verified the effectiveness of the proposed scheme.

Keywords: U-model control; multiple model control; non-linear system; uncertain system; discrete-time system.

DOI: 10.1504/IJMIC.2020.112299

International Journal of Modelling, Identification and Control, 2020 Vol.34 No.4, pp.293 - 300

Received: 01 Feb 2020
Accepted: 24 Mar 2020
Published online: 07 Jan 2021 *

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