Title
Attenuation Of Nonlinearly State-Dependent Uncertainties: Robust Control Design And Its Application To Robotic Manipulators
Abstract
Attenuation of nonlinear uncertainties using robust control is considered. A system under investigation has a linear nominal part and a nonlinear lumped uncertainty. Robust control is designed using the Lyapunov direct method. It is shown that the proposed control is continuous, guarantees global stability without knowledge of nonlinear dynamics except their size bounding function, and ensures a finite upper bound on the attenuation performance index over an infinite horizon. That is, the proposed control is both robust and optimal. As an application, it is shown that the proposed control can be directly applied to robotic manipulators and many other nonlinear systems. © 1996 Taylor & Francis Group, Ltd.
Publication Date
1-1-1996
Publication Title
International Journal of Control
Volume
63
Issue
1
Number of Pages
27-40
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/00207179608921829
Copyright Status
Unknown
Socpus ID
0029755107 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029755107
STARS Citation
Qu, Z. and Kaloust, J., "Attenuation Of Nonlinearly State-Dependent Uncertainties: Robust Control Design And Its Application To Robotic Manipulators" (1996). Scopus Export 1990s. 2365.
https://stars.library.ucf.edu/scopus1990/2365