NDLI: Sampled-data feedback and stability for a class of uncertain nonlinear systems based on characteristic modeling method

Content Provider	Springer Nature Link
Author	Jiang, Tiantian Wu, Hongxin
Copyright Year	2016
Abstract	In this paper, we investigate the tracking problem for a class of second-order uncertain nonlinear systems using sampled-data output feedback. Our controller is designed based on the characteristic modeling method. We first derive the corresponding characteristic model and then give the sampled-data feedback control law, which is referred to as “golden-section adaptive control based on characteristic models”. The closed-loop system is shown to be stable and, concurrently, it is demonstrated that the tracking error can be made arbitrarily small by taking a sufficiently small sampling period. Our results improve upon the findings of previous work by removing the persistent excitation condition, and also lay certain theoretical foundations for practical applications of golden-section adaptive control.本文研究了一类二阶非线性不确定系统的位置跟踪控制问题. 基于特征建模的思想方法,给出了一种输出采样反馈控制律—基于特征模型的黄金分割自适应控制. 证明了该控制律与原系统构成的闭环系统稳定, 并且该控制算法能够保证输出跟踪误差足够小. 该结果改进了已有研究工作中需要持续激励条件这一弊端, 为黄金分割自适应控制的工程应用提供了理论依据.
Starting Page	1
Ending Page	15
Page Count	15
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	59
Issue Number	9
e-ISSN	18691919
Language	Chinese
Publisher	Science China Press
Publisher Date	2016-08-23
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	uncertainty nonlinear system characteristic model golden-section adaptive control sampled-data feedback Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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