Literature Review

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Literature Review

Michailidis, Michail G. / Valavanis, Kimon P. / Rutherford, Matthew J.

This chapter provides a technical overview and the necessary background for existing controller synthesis methods that have been applied for navigation and control of UAVs. These include linear controllers (PID, LQR, LQG, etc.), backstepping, sliding mode, nonlinear model predictive, adaptive, dynamic inversion, fuzzy logic and neural networks, gain scheduling, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_\infty $$\end{document} and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu $$\end{document}-synthesis [1, 2]. The distinctive advantages and drawbacks for each technique are investigated with respect to applicability to the family of new generation UAVs with time-varying aerodynamic characteristics.