论文成果
Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters
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关键字:Adaptive control systems;Backstepping - Closed loop control systems - Closed loop systems - Navigation
摘要: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.<br/> © The Author(s) 2020.
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期号:13
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朱善良

教授 硕士生导师

教师拼音名称:zhushanliang

学历:博士研究生

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联系方式:zhushanliang@qust.edu.cn

学位:工学博士

所属院系:数理学院

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