Dynamic Modeling and LQR Control of a Single Coaxial Drone with 2DOF Thrust Vectoring Mechanism

arXiv:2609.21099 · cs.RO, cs.SY, eess.SY · Submitted 2026-09-17 · Read on arXiv

cs.RO, cs.SY, eess.SY

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

• Dynamic Modeling — 4× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Extended Kalman Filter — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Linear Quadratic Regulator — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Related papers

• FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
• RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
• HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
• APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
• Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving