DLINLIN123's starred repositories

BayesianCNN-Paddle

用Paddle复现论文Weight Uncertainty in Neural Networks

Language:PythonStargazers:9Issues:0Issues:0

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

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Hybrid-Electric-Vehicle-Powering-Source-Using-Neural-Network

Hybrid Electric Vehicle Powering Source Using Artificial Neural Network on MATLAB and Simulink

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Machine-learning-3-

Exploring ML techniques for MNIST digit classification & reinforcement learning. Utilizes PyTorch, experiments with convolutional layers, and increases episodes for improved model performance. Insights and code provided

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

RLRC

Reinforcement Learning for Relation Classification from Noisy Data. Pytorch Implement

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6Issues:0Issues:0

ID-LSTM-pytorch

A Pytorch implementation of the AAAI 2018 Paper "Learning Structured Representation for Text Classification via Reinforcement Learning"

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MARLClassification

Image classification using reinforcement learning and multi-agent system

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Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

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Adaptive_and_Fault_Tolerant_Flight_Control_Systems

Adaptive and fault tolerant flight control with Adaptive Neural Networks

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acados

Fast and embedded solvers for nonlinear optimal control

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Optimization-of-Vehicle-Speed

This project is based on a real life problem that is quite significant in our everyday lives. It is based on an internal combustion engine which are the most common in today’s era for transportation in light motor as well as heavy vehicles. To be precise, I will be using a high-fidelity, non-linear internal combustion engine simulator which is written in Matlab Simulink and analyze multiple methods to control the idle engine speed. In technical terms, the primary objective is to have an optimization loop automatically “tune” the PID (closed loop) gains to achieve the best possible engine speed response in the presence of large load torque disturbances. The control input here is throttle angle (opening of the throttle). I’ll be testing the simulator in both open loop and closed loop modes. Closed loop behavior of the simulator will be investigated with the use of a PID controller. Several optimization algorithms (constrained and unconstrained) will be implemented to find the best possible way to bring idle engine speed back up as fast as possible with the least amount of deflection.

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Electromechanical-Engine-Gimbal-Control-System

An introductory study to Electromechanical Engine Gimbal Control systems using Matlab and simulink

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Control-Systems

Simulink model for automation of UAV engines

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advanced-control-engineering

position control of quadrotor in simulink

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Control-Engineering

Active Suspension System Design using Simulink

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Simulink-Ignition-Scheduler

Simulation of the ignition control of a four-cylinder engine

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m3u

直播源

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iptv

Collection of publicly available IPTV channels from all over the world

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miles-guess

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:17Issues:0Issues:0

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

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Li-ion-battery-equivalent-circuit-parameterization

Parameterizes a 1st, 2nd or 3rd order ECM using two methods.

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MATLAB-Simulink-Challenge-Project-Hub

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

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T513---SIEngineDynamometer

Code for a multi-input multi-output Model Predictive Controller for the throttle and wastegate of a turbocharged engine in MathWorks' SIDynoReferenceApplication for the MathWorks Excellence in Innovation Competition

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Turbocharged_SI_Engine

Modelling and Control of Turbocharged SI Engine

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Controls-Engineering-Simulink-Models

Dorle MIY packages 1 through 4

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Design-of-a-model-predictive-control-for-a-twin-engine-micro-fixed-wing-UAV

The following project is an implementation of "Hakan Ülker, Cemal Baykara, Can Özsoy, "Design of MPCs for a fixed wing UAV", Aircraft Engineering and Aerospace Technology, https://doi.org/10.1108/AEAT-08-2015-0198".

Language:MATLABLicense:MITStargazers:6Issues:0Issues:0