Adaptive output feedback control of feedforward nonlinear distributed delay systems with unknown delay kernel

ABSTRACTThis paper considers the problem of global adaptive output feedback regulation for a class of uncertain feedforward nonlinear distributed delay systems. Compared with the existing results, we reduce the conservatism of the restrictive conditions by combining the dynamic scaling technique and the backstepping method, in particular, uncertain control coefficients and unknown delay kernels are admitted. With the help of the Lyapunov–Krasovskii theorem, a delay-independent output feedback controller is proposed by constructing an input-driven observer with a novel dynamic gain, which guarantees that all the closed-loop signals are globally bounded while rendering the states of original system and the estimate states globally asymptotically to converge to zero as time goes to infinity. Finally, a numerical example is given to illustrate the usefulness of our results.

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PID https://www.doi.org/10.6084/m9.figshare.4093824
PID https://www.doi.org/10.1080/00207179.2016.1236215
PID https://www.doi.org/10.6084/m9.figshare.4093824.v1
URL https://dblp.uni-trier.de/db/journals/ijcon/ijcon90.html#JiaCX17
URL http://dx.doi.org/10.6084/m9.figshare.4093824
URL https://shibaura.pure.elsevier.com/ja/publications/adaptive-output-feedback-control-of-feedforward-nonlinear-distrib
URL https://www.tandfonline.com/doi/pdf/10.1080/00207179.2016.1236215
URL https://www.tandfonline.com/doi/full/10.1080/00207179.2016.1236215
URL https://core.ac.uk/display/149708951
URL https://academic.microsoft.com/#/detail/2542212897
URL http://dx.doi.org/10.6084/m9.figshare.4093824.v1
URL http://dx.doi.org/10.1080/00207179.2016.1236215
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Access Right Open Access
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Author Xianglei Jia
Author Xinkai Chen
Author Shengyuan Xu
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Collected From Datacite; figshare; Crossref; Microsoft Academic Graph
Hosted By figshare; International Journal of Control
Publication Date 2016-10-27
Publisher Taylor & Francis
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Language UNKNOWN
Resource Type Other literature type; Article
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
keyword arxiv.Computer Science::Systems and Control
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::7735ab363192c97f86192419497afbf5
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Last Updated 26 December 2020, 21:02 (CET)
Created 26 December 2020, 21:02 (CET)