Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152076
Title: Output feedback control for constrained pure-feedback systems : a non-recursive and transformational observer based approach
Authors: Huang, Xiucai
Song, Yongduan
Wen, Changyun
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Huang, X., Song, Y. & Wen, C. (2020). Output feedback control for constrained pure-feedback systems : a non-recursive and transformational observer based approach. Automatica, 113, 108789-. https://dx.doi.org/10.1016/j.automatica.2019.108789
Journal: Automatica
Abstract: In this paper we investigate the control problem of uncertain pure-feedback systems under time-varying output constraints using output information only. By making use of the salient cascade properties of pure-feedback systems as well as a novel scaling function, we convert the constrained system into a normal form without constraints. Then by using only one single neural network (NN) unit for nonlinear approximation and one high-gain observer for transformed state estimation, an adaptive NN output feedback control scheme is constructed. Different from existing results in the literature, our method exhibits the following features: (1) achieving semi-global stable control with only output feedback without imposing any additional restrictive condition; (2) avoiding the recursive design procedures required by some typical approaches such as backstepping; and (3) recovering the steady-state tracking performance under the state feedback. Besides, all the signals in the closed-loop are bounded and the output constraints are never violated. The effectiveness and flexibility of the developed method is demonstrated through control design and simulation on the non-trivial aircraft short-period dynamics.
URI: https://hdl.handle.net/10356/152076
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2019.108789
Rights: © 2019 Published by Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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