Adaptive Finite-Time Stabilization of High-Order Nonlinear Systems with Dynamic and Parametric Uncertainties

被引：2
|
作者：
Jiang, Meng-Meng [1 ]
Xie, Xue-Jun [1 ]
机构：
[1] Qufu Normal Univ, Inst Automat, Jining 273165, Shandong, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2016年 / 2016卷
基金：
中国国家自然科学基金;
关键词：
STATE-FEEDBACK-CONTROL; OUTPUT-FEEDBACK; GLOBAL STABILIZATION; HIGH-GAIN; STABILITY; OBSERVER;
D O I：
10.1155/2016/5702182
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Under the weaker assumption on nonlinear functions, the adaptive finite-time stabilization of more general high-order nonlinear systems with dynamic and parametric uncertainties is solved in this paper. To solve this problem, finite-time input-to-state stability (FTISS) is used to characterize the unmeasured dynamic uncertainty. By skillfully combining Lyapunov function, sign function, backstepping, and finite-time input-to-state stability approaches, an adaptive state feedback controller is designed to guarantee high-order nonlinear systems are globally finite-time stable.
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页数：11
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