Stabilization of Nonlinearly Parameterized Discrete-Time Systems by NLS Algorithm

被引：0

作者：

Li, Chanying ^{[1
]}

Chen, Michael Z. Q. ^{[2
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China

[2] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Stabilization; NLS algorithm; Discrete-time systems; Nonlinearly parameterized systems; UNCERTAIN SYSTEMS; FEEDBACK; CAPABILITY; STABILITY; THEOREM; MODELS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the challenging problem of designing an adaptive feedback strategy for the stabilization of a class of nonlinearly parameterized uncertain systems in discrete time. The nonlinear least squares (NLS) algorithm is applied to estimate the unknown parameters, and a sufficient condition is proposed to ensure the strong consistency of the estimator. Based on the NLS algorithm, the global stability of the system is achieved under the output feedback design.

引用

页码：2155 / 2160

页数：6

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