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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    Title :

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


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Wei, Yan (author) / Zhou, Pingfang (author) / Duan, Dengping (author) / Zhou, Weixiang (author)


    Publication date :

    2021-10-30


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English







    Adaptive Spacecraft Attitude Tracking Control with Actuator Uncertainties

    Yoon, H. / Tsiotras, P. / American Astronautical Society; American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2008