btknzn Goto Github PK

-closed-loop-motion-control-in-dc-motor-encoder-controller-with-pid-controller

Closed-loop motion control in DC Motor (encoder Controller) with PID Controller

20hz-1mhz-5-stage-500-gain-amplifier-analog-circuit-design.

20Hz-1MHZ 5 stage 500 gain Amplifier Analog Circuit Design.

accel

autonomous-route-following-system-for-small-degree-routes

(LQR controller AND KALMAN FİLTER APPLİCATİON) In real world, we have a lot of straight highways. In this highways, we do not need to make an movement to drive. We can just start our cruise control and lock our cars' wheel. Do you think that it is simple?. Actually there is not any highways, which is 100 percent straight. Because of this situation we can not lock our the wheel of our autos and can not go straight.To lock our wheel and watch the route, we can design a controller and our system can follow our routes autonomusly for small degree. For example our system can follow small sinus signal. You can see our system.We assumed that it is unicycle robot. We are going to adjust our robots' angle via controlling angular accelartion

belt-system-with-stepper-motor-controlled-by-potentiometer

bihr

bihr_nao

Biologically Inspired Learning for Humanoid Robotics

breath-first-search-maze-solving

btknzn.github.io

carlaautonomouscar

carlafullautonomcar

carlaobjectcordinatedecetion

This code detects pedesterians and vehicle in carla simulation enviroment and save their location as objectparam.txt

change-detection-algorithm

This project detects environmental changes using satellite images

classification-with-neural-networks

cmac-neural-network

Trainning Cmac neural network using it some actions.

convolutional-autoencoder

convolutional-neural-network-

%81 success

convolutional-neural-networks

cuda-nbody-simulation

Simulation of Nbody problem with the GPU (CUDA programming).

cuda-programs

A collection of GPU and high-performance computing programs written in CUDA for CS89.25/189.3, a graduate-level CS course at Dartmouth.

cuda-training-examples

Code examples from the course "Fundamentals of Accelerated Computing with CUDA C/C++"

cudaprogramming

This code is a basic Cuda programming example

dagan

DAGAN: Data Augmentation Generative Adversarial Networks

dagan_torch

PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)

dc-motor-matematical-modeling-in-matlab-and-applying-p-pi-pid-controller-and-sisotool-grapg-librry

dc-motor_speed_control_with_potansiyometre_t-nkercad

DC Motor_speed_control_with_potansiyometre_TİNKERCAD

decisiontree

deep-learnin-hyperparameter-tuning-regularization-and-optimization.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

depth-first-search-maze-solving