Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters-Reference-Cited by-同舟云学术

Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters

Published:2020-09-10 Issue:3 Volume:43 Page:646-655
ISSN:0142-3312
Container-title:Transactions of the Institute of Measurement and Control
language:en
Short-container-title:Transactions of the Institute of Measurement and Control

Author:

Chu Lei¹²,Han Yuqun¹²³^ORCID,Zhu Shanliang¹²⁴,Wang Mingxin¹²

Affiliation:

1. School of Mathematics and Physics, Qingdao University of Science and Technology, P. R. China

2. The Research Institute for Mathematics and Interdisciplinary Sciences, Qingdao University of Science and Technology, China

3. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, P. R. China

4. College of Electromechanical Engineering, Qingdao University of Science and Technology, P. R. China

Abstract

This paper presents an adaptive multi-dimensional Taylor network (MTN) control approach for a class of nonlinear systems with unknown parameters. MTN is employed to identify unknown nonlinear characteristics existing in the system, and then a novel adaptive MTN tracking control method is proposed, via backstepping technique. In the controller design, double adaptive laws are designed and appropriate Lyapunov functions are chosen to overcome the difficulties caused by the unknown parameters. The designed controller can guarantee that all the variables in the closed-loop systems are bounded and the tracking error can be arbitrarily small. Finally, simulation results are presented to verify the effectiveness of the proposed approach.

Publisher

SAGE Publications

Subject

Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1177/0142331220953355

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