非线性系统
控制理论(社会学)
因式分解
互质整数
摄动(天文学)
鲁棒控制
数学
理论(学习稳定性)
计算机科学
控制(管理)
算法
人工智能
物理
量子力学
机器学习
作者
Fazhan Tao,Mengyang Li,Zhumu Fu
标识
DOI:10.1016/j.jfranklin.2020.10.019
摘要
In this paper, nonlinear control for dealing with a class of uncertain nonlinear systems is discussed according to operator-based coprime factorization method. In detail, firstly, for guaranteeing internal-output stability of nominal nonlinear systems with left factorization, a simple and effective design scheme is proposed with a weak assumption. Simultaneously, based on the proposed scheme, the given nominal nonlinear systems are proved to be coprime. Secondly, tracking performance of the considered systems is obtained by designing a suitable Bezout identity without complicated calculation on the obtained left factorization. Thirdly, with respect to the considered nonlinear system, when it comes to appear perturbation, different adverse effects resulting from different perturbation are considered to guarantee robust stability. For the two different cases, two suffcient conditions using inherent characteristics are proposed for guaranteeing robust stability. Finally, two examples are shown to confirm effectiveness of the proposed design scheme of this paper.
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