Nicol, C., Macnab, C.J.B. and Ramirez-Serrano, A. (2008) Robust Neural Network Control of a Quadrotor Helicopter. Proceedings of the Canadian Conference on Electrical and Computer Engineering, Niagara Falls, 4-7 May 2008, 1233-1237.

has been cited by the following article:

• TITLE: A Review of Control Algorithms for Autonomous Quadrotors

  AUTHORS: Andrew Zulu, Samuel John

  KEYWORDS: Control, Algorithms, Quadrotors, Intelligent Control, Optimal Control, Robust Control, Adaptive Control, Linear Control, Nonlinear Control

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.4 No.14, December 24, 2014

  ABSTRACT: The quadrotor unmanned aerial vehicle is a great platform for control systems research as its nonlinear nature and under-actuated configuration make it ideal to synthesize and analyze control algorithms. After a brief explanation of the system, several algorithms have been analyzed including their advantages and disadvantages: PID, Linear Quadratic Regulator (LQR), Sliding mode, Backstepping, Feedback linearization, Adaptive, Robust, Optimal, L1, H∞, Fuzzy logic and Artificial neutral networks. The conclusion of this work is a proposal of hybrid systems to be considered as they combine advantages from more than one control philosophy.