Adaptive Stabilization for a Class of Feedforward Systems with Zero-Dynamics

被引：0

作者：

SHANG Fang ^{[1
,2
]}

LIU Yungang ^{[3
]}

ZHANG Guiqing ^{[1
,2
]}

机构：

[1] School of Information and Electrical Engineering,Shandong Jianzhu University

[2] Shandong Provincial Key Laboratory of Intelligent Buildings Technology

[3] School of Control Science and Engineering,Shandong University

来源：

Journal of Systems Science & Complexity | 2015年 / 28卷 / 02期

关键词：

Adaptive control; feedforward nonlinear systems; unknown control coefficient; unknown linear growth rate;

D O I：

暂无

中图分类号：

O231 [控制论（控制论的数学理论）];

学科分类号：

070105 ; 0711 ; 071101 ; 0811 ; 081101 ;

摘要：

This paper investigates adaptive state feedback stabilization for a class of feedforward nonlinear systems with zero-dynamics,unknown linear growth rate and control coefficient.For design convenience,the state transformation is first introduced and the new system is obtained.Then,the estimation law is constructed for the unknown control coefficient,and the state feedback controller is proposed with a gain updated on-hne.By appropriate choice of the estimation law for the control coefficient and the dynamic gain,the states of the closed-loop system are globally bounded,and the state of the original system converges to zero.Finally,a simulation example is given to illustrate the correctness of the theoretical results.

引用

页码：305 / 315

页数：11

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