Name: Zhaoyu Lu
Type: User
Company: Dalian University of Technology
Bio: I am a grade 2022 undergraduate from Dalian University of Technology, and I hope to learn code in depth on github platform.
Location: No. 2, Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, China
Zhaoyu Lu's Projects
研学社
Simulation and analysis tools for autonomous F-16 maneuvers as a V&V benchmark
Python Version of F-16 Maneuver Verification Benchmark
Optimization of aircraft short-term trajectories, parameterized using B-splines.
A header only c++ package for convex decomposition using ellipsoids
Deep learning and evolutionary algorithms for identification of aerodynamic parameters
F-16 Aircraft Dynamics Model from Stevens and Lewis "Aircraft Control and Simulation".
Team 5 Capstone git for the F16 Modeling and Simulation. Winter/Spring 2020-2021.
Deep Reinforcement Learning for Flight Control
Fixed-Wing UAV Formation Controller Design and Implementation
Just another respository
Python code for hypersonic vehicle simulation
A C++ implementation of Jump Point Search on both 2D and 3D maps
Library for Aircraft Dynamics And Control
Examples for the Library for Aircraft Dynamics And Control
Use PyTorch Models with CasADi and Acados
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️ ✈️
A multiple fixed-wing UAVs flight simulation platform built by matlab and simulink.
Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
A trajectory optimization library for Matlab
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
Quadrotor control, path planning and trajectory optimization
Sequential Convex Programming Toolbox for nonconvex trajectory optimization.
A reinforcement learning algorithm to navigate a group of drones (UAV) tracking one moving target
Repository containing examples and code that accompany YouTube videos and lectures.