L′ Hopital'S rule-Based adaptive dynamic surface control for a class of strict-Feedback systems with unknown parameters

被引：1

作者：

Li Xiaoqiang ^{[1
]}

Wang Ning ^{[2
]}

机构：

[1] Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471023, Peoples R China

[2] Dalian Maritime Univ, Sch Marine Engn, Dalian 116026, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 02期

基金：

中国国家自然科学基金;

关键词：

NONLINEAR-SYSTEMS; TRACKING CONTROL; NEURAL-CONTROL; BACKSTEPPING CONTROL; CONTAINMENT CONTROL; DELAY SYSTEMS; ROBUST; STABILIZATION; STATE; VEHICLES;

D O I：

10.1016/j.jfranklin.2022.11.038

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a L ' Hopital ' s rule-based adaptive dynamic surface control (L-ADSC) scheme is developed for a class of strict-feedback systems with unknown parameters using backstepping technique. The L-ADSC-derived backstepping technique is deployed to remove differentiation of complex virtual controller, thereby efficiently avoiding '' exlosion of complexity ''. The L ' Hopital ' s Rule is resorted to tackle singularity problem within controller synthesis. As a consequence, the proposed L-ADSC scheme guarantees that all signals of the closed-loop control system are semi-globally uniformly ultimately bounded. Simulation results show remarkable effectiveness. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：719 / 734

页数：16

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