Adaptive Backstepping Quantized Control for a Class of Nonlinear Systems

被引：171

作者：

Yu, Xiaowei ^{[1
]}

Lin, Yan ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Sch Automat, Beijing 100191, Peoples R China

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2017年 / 62卷 / 02期

关键词：

Adaptive backstepping; nonlinear systems; quantization; state feedback; SECTOR BOUND APPROACH; LINEAR-SYSTEMS; FEEDBACK-CONTROL; STABILIZATION;

D O I：

10.1109/TAC.2016.2570140

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, an adaptive backstepping quantized control scheme was proposed. In this note, for a class of general nonlinear systems, it is shown that with a simple yet novel transformation of the control signal, all the strict assumptions on the system in early works can be relaxed, a coarser quantization can be achieved, and the stabilization error can be steered to within an arbitrarily small neighborhood of the origin.

引用

页码：981 / 985

页数：5

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