This paper focuses on the issue of adaptive finite-time attitude tracking control for an autonomous airship subject to full state constraints and uncertainties. A tan-type nonlinear mapping function is designed to convert the constrained system into a new one without constraints, such that the state constraints are never violated. Neural networks are introduced to approximate uncertainties. A \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$C^1$$\end{document} finite-time adaptive control scheme is introduced by employing a smooth switching function. Through stability analyses, all signals are semi-globally uniformly ultimately bounded, and the state constraints are never transgressed. Finally, simulations are implemented to evaluate the efficacy of the developed approach.


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    Titel :

    Adaptive Finite-Time Attitude Tracking Control of an Autonomous Airship with Full State Constraints and Uncertainties


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Wei, Yan (Autor:in) / Zhou, Pingfang (Autor:in) / Duan, Dengping (Autor:in) / Zhou, Weixiang (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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