期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 33, 期 1, 页码 311-335出版社
WILEY
DOI: 10.1002/rnc.6453
关键词
adaptive coefficients; adaptive predefined-time observer; generalized strict-feedback second-order system; peaking observation error; upper bound of the settling time
This article studies the predefined-time observation problem of generalized strict-feedback second-order systems and proposes an adaptive predefined-time observer that achieves complete reconstruction with small observation errors and a predefinable upper bound on settling time.
This article studies the predefined-time observation problem of generalized strict-feedback second-order systems commonly encountered in practice. A nonaffine control input, a matched perturbation, and nonlinear functions satisfying the Holder growth condition are considered. A class of adaptive predefined-time observers (PTOs) is designed to reconstruct unknown states and lumped perturbations based on a barrier function and specific time-varying functions. Distinct from existing observers for strict-feedback systems, the PTO accomplishes a complete reconstruction in a predefined time with trivial peaking observation errors. Furthermore, the upper bound of the settling time of the PTO is tightly and explicitly predefined by only one design parameter, and is irrelevant to the initial conditions. Hence, tuning procedures for the physically realizable temporal demands become less conservative and more straightforward. Moreover, the adaptive coefficients of the PTO are self-adjusted along with the magnitude of perturbation, efficiently improving the transient performance under wide-range perturbations. Finally, numerical simulations on a robot manipulator system demonstrate the effectiveness of the PTO.
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