A Review of Control Algorithms for Autonomous Quadrotors
Not on the map. Why?
Abstract (arXiv)
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-infinity, 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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Feb 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2.
2 papers.