Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity-Reference-Cited by-同舟云学术

Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity

Published:2020-04-30 Issue:13 Volume:42 Page:2482-2491
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:

Zhu Shan-Liang¹²,Duan De-Yu²,Chu Lei²,Wang Ming-Xin²,Han Yu-Qun²³^ORCID,Xiong Peng-Cheng²

Affiliation:

1. College of Electromechanical Engineering, Qingdao University of Science and Technology, China

2. School of Mathematics and Physics, Qingdao University of Science and Technology, China

3. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, China

Abstract

In this paper, a multi-dimensional Taylor network (MTN)-based adaptive tracking control approach is proposed for a class of switched nonlinear systems with input nonlinearity. Firstly, the input nonlinearity is assumed to be bounded by a sector interval. Secondly, with the help of MTNs approximating the unknown nonlinear functions, a novel adaptive MTN control scheme has the advantages of low cost, simple structure and real time feature is developed via backstepping technique. It is shown that the tracking error finally converges to a small domain around the origin and all signals in the closed-loop system are bounded. Finally, two examples are given to demonstrate the effectiveness of the proposed control scheme.

Publisher

SAGE Publications

Subject

Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1177/0142331220916601

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