Abstract
In this paper, we study the problem of sampled-data output feedback control for a class of uncertain nonlinear systems. The main contributions of this work are two-fold: (i) we develop a systematic design procedure of sampled-data output feedback controller; and (ii) we provide a theoretical analysis of the sampled-data closed-loop system, which shows that the state of the plant can be regulated into any given neighborhood of the origin by an appropriate choice of design parameters and sampling period. Furthermore, the bound of the neighborhood is proportionally dependent on the sampling period. Finally, an illustrative example is given to demonstrate the effectiveness of the presented method.
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Recommended by Editorial Board member Young Ik Son under the direction of Editor Ju Hyun Park.
This work was supported by the National Natural Science Foundation of China (No.61004048).
Jian Zhang received his B.S. degree in Machinery Manufacture and Equipment from Institute of Optics and Fine Mechanics of Changchun, and his M.S. degree in Circuits and Systems from Electronic Science and Technology of China (UESTC) in 2004. He is currently a Lecturer in the School of Automation Engineering of UESTC. His research interests include nonlinear control and sampled-data control.
Xiaoshuai Xin received his B.S. and M.S. degrees in Automation Engineering from Electronic Science and Technology of China, in 2005 and 2008 respectively. His research interests include control theory and its applications, intelligence control.
Hongbing Xu received his B.S. and Ph.D. degrees in Automation Engineering from Electronic Science and Technology of China (UESTC), in 1988 and 2000 respectively, and an M.S. degree in Automation Engineering from Southeast University in 1991. He is currently a Professor in the School of Automation Engineering of UESTC. His research interests include control theory and its applications, signal processing, and system identification.
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Zhang, J., Xin, X. & Xu, H. Sampled-data output feedback control of a class of uncertain nonlinear systems. Int. J. Control Autom. Syst. 11, 175–181 (2013). https://doi.org/10.1007/s12555-012-0133-y
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DOI: https://doi.org/10.1007/s12555-012-0133-y