Further Results on Stabilizability of Discrete-time Nonlinearly Parameterized Systems With Scalar Parameters

被引：1
|
作者：
Li, Chanying [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Syst & Control, Acad Math & Syst Sci, Beijing 100190, Peoples R China
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2018年 / 63卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Discrete time; nonlinear parametrization; random noises; sensitivity function; stabilizability; ADAPTIVE-CONTROL; UNCERTAIN SYSTEMS;
D O I：
10.1109/TAC.2017.2758439
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 note advances the work "Simultaneous identification and stabilization of nonlinearly parameterized discrete-time systems by nonlinear least squares algorithm" by Li and Chen by allowing the sensitivity functions of discrete-time nonlinearly parameterized systems with scalar parameters admitting arbitrarily many zeros for large outputs. Stabilizability theorems" and "impossible theorems" have been provided both for time-invariant-parameter and time-varying-parameter cases. A practical estimation algorithm is also proposed to facilitate the implementation in computations.
引用
收藏
页码：2153 / 2160
页数：8
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