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Robust Stability and Tracking for Operator-Based Nonlinear Uncertain Systems

In this paper, operator-based robust control for nonlinear uncertain system is considered by using robust right coprime factorization approach. In details, the effects from uncertainties for nonlinear uncertain systems are analyzed through internally stable control design. For the stabilizing system...

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Bibliographic Details
Published in:IEEE transactions on automation science and engineering 2015-07, Vol.12 (3), p.1059-1066
Main Authors: Bi, Shuhui, Deng, Mingcong, Xiao, Yongfei
Format: Article
Language:English
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Summary:In this paper, operator-based robust control for nonlinear uncertain system is considered by using robust right coprime factorization approach. In details, the effects from uncertainties for nonlinear uncertain systems are analyzed through internally stable control design. For the stabilizing system, an internal model control (IMC) like operator-based control design is proposed. Based on the proposed design scheme, the effect from uncertainties is eliminated. By using operator theory-based approach, the system is robustly stable and the desired tracking performance can be realized. Finally, the effectiveness of the proposed design scheme is demonstrated by a simulation example. Note to Practitioners-Robust stability and tracking problems are two well-known topics in the field of control, which play an important role in real application and attract the researchers' attention all the time. Especially, these issues on nonlinear systems still remain challenging owing to complexity and the nonlinear characteristic property. Another challenging issue in nonlinear control is the effects from uncertainties. Motivated by these issues, robust control design by using operator theoretic-based approach has caused for concern owing to its effectiveness in dealing with nonlinearity and uncertainties. This paper provides a survey of the research in the above issues that would help practitioners in controlling nonlinear uncertain systems and in understanding the advantages of operator-based approach.
ISSN:1545-5955
1558-3783
DOI:10.1109/TASE.2014.2325953