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oygx210's Projects

rigidtransformation icon rigidtransformation

A C++ Library implementing some of the Lie Groups useful for robotics (SO(2), SO(3), SE(2), SE(3), Quaternions).

rl-acs icon rl-acs

Reinforcement learning for spacecraft attitude control systems

rlcc icon rlcc

High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)

robotarium-rendezvous-rssdoa icon robotarium-rendezvous-rssdoa

This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.

robotics-toolbox icon robotics-toolbox

Robotics Toolbox Extension:matlab scripts for cooperative control and manipulation based on Peter Corke's robotics toolbox. Also fix some bugs of RTB 10.3.1.

robust-control-tutorial icon robust-control-tutorial

Robust control tutorial by Purdue SMART Lab: Sliding Mode Control (SMC) with MATLAB/Simulink example implementation

robust-model-free-iterative-learning-control-with-convergence-rate-acceleration icon robust-model-free-iterative-learning-control-with-convergence-rate-acceleration

A novel model-free iterative learning control algorithm is presented in this project to improve both the robustness against output disturbances and the tracking performance in steady-state. For model-free ILC, several methods have been investigated, such as the time- reversal error filtering, the Model-Free Inversion-based Iterative Control (MFIIC), and the Non- Linear Inversion-based Iterative Control (NLIIC). However, the time-reversal error filtering has a conservative learning rate. Other two methods, although with much faster error convergence, have either a high noise sensitivity or a non-optimized steady-state. To improve the performance and robustness of model-free ILC, in this project we apply the time-reversal based ILC algorithm and recursively accelerate its error convergence using the online identified learning filter. The effectiveness of the proposed algorithm has been validated from a numerical simulation. The proposed approach not only improves the transient response of the MFIIC, but also achieves lower tracking error in steady-state compared to that of the NLIIC.

rocket icon rocket

Real-time Orbit determination and ClocK Estimation Toolkit

rocketcontrol icon rocketcontrol

MORGAN (MOdel Rocket GuidANce and Control) Firmware for rocket flight computer (IMPORTANT: SEE README BELLOW)

roptlib icon roptlib

ROPTLIB: Riemannian Manifold Optimization Library

s2e-core icon s2e-core

Spacecraft Simulation Environment Core codes

sact_ece6340 icon sact_ece6340

code generated for ECE 6340 Spacecraft Attitude Control Theory

sadc icon sadc

Project to model the environment, dynamics and control of a cubesat.

safe-online-learning-for-gaussian-processes icon safe-online-learning-for-gaussian-processes

The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas Umlauft and Sandra Hirche published in IEEE Transactions on Automatic Control in 2020.

sar-synthetic-aperture-radar icon sar-synthetic-aperture-radar

合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结,毕业后已经离开这个领域了。分享出来,仅此纪念。1)SAR: 成像算法,RD,CS,Radarsat-1数据成像处理。2)InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3)PolSAR: 极化定标算法,Whitt, PARC, Quegan, Ainsworth。详见 readme.md

satellite-thermal-control icon satellite-thermal-control

Satellites are exposed to the harsh environment in space, that vary its temperature widely as the satellite orbits around a planet. A thermal control system for a satellite at lower altitudes must be designed to regulate the fluctuations in the temperature. In the current work, a thermal analytical model for an isothermal, single-noded satellite revolving in a Low altitude Planet Orbit has been developed from the fundamental principles. The primary aim of this project is to solve the temperature of the satellite as a function of its orbital position using MATLAB code. Parameters like absorptivity and IR emissivity of the satellite effect the thermal condition of the satellite. Thus, the variation in the temperature of the satellite w.r.t various parameters is observed using MATLAB code to study its thermal effects. The temperature of the satellite, solved using the MATLAB code, returns the temperature, which obtain a reasonable approximation for the satellites at lower altitudes.

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