Abstract
In this paper, we consider a class of high-order nonlinear systems with unmodelled dynamics from the viewpoint of maintaining the desired control performance (e. g., asymptotical stability) and reducing the control effort. By introducing a new rescaling transformation, adopting an effective reduced-order observer, and choosing an ingenious Lyapunov function and appropriate design parameters, this paper designs an improved output-feedback controller. The output-feedback controller guarantees the globally asymptotical stability of the closed-loop system. Subsequently, taking a concrete system for an example, the smaller critical values for gain parameter and rescaling transformation parameter are obtained to effectively reduce the control effort.
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This work was supported by National Natural Science Foundation of China (No. 60774010), Natural Science Foundation of Jiangsu Province, Jiangsu “Six Top Talents” (No. 07-A-020), Program for Fundamental Research of Natural Sciences in Universities of Jiangsu Province (No. 07KJB510114), and Natural Science Foundation of Xuzhou Normal University (No. 08XLB20).
Na Duan is currently a Ph. D. candidate at Qufu Normal University, PRC and an assistant at Xuzhou Normal University, PRC.
Her research interests include nonlinear adaptive control and stochastic nonlinear control.
Fu-Nian Hu is a professor at Xuzhou Normal University, PRC.
His research interests include control of power systems and theory of electricity market.
Xin Yu is a master student at Qufu Normal University, PRC.
His research interests include nonlinear adaptive control and stochastic nonlinear control.
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Duan, N., Hu, FN. & Yu, X. An improved control algorithm for high-order nonlinear systems with unmodelled dynamics. Int. J. Autom. Comput. 6, 234–239 (2009). https://doi.org/10.1007/s11633-009-0234-0
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DOI: https://doi.org/10.1007/s11633-009-0234-0