kamara3k

kamara3k

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kamara3k's repositories

Adaptive-MPC-With-SNN

Continuous adaptive nonlinear model predictive control using spiking neural networks and real-time learning

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control-systems-for-Microreactor

control systems for nuclear micro system

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Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

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github-slideshow

A robot powered training repository :robot:

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Introductory-Data-Science

Hands-on machine learning tutorials in Google Colab, covering various algorithms and techniques for learners at different levels.

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oxrse_unit_conv

Python unit conversion library for teaching collaborative GitHub techniques.

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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mpc-reinforcement-learning

Reinforcement Learning with Model Predictive Control

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MPCforQuadcopter

Quadcopter attiude control using linear, approximate linear, nonlinear and cascade model predictive control

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NMPC-SlungLoadQuad

Online trajectory planning and control using nonlinear MPC model in MATLAB to avoid dynamic/static obstacles

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Nonlinear-Control-Robotic-Systems

Repo with Python projects on nonlinear control systems theory for robotics, featuring Lyapunov analysis, LQR, MPC, Kalman filter, and RL applications.

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PythonLinearNonlinearControl

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

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Reinforcement-Learning-for-Nonlinear-Control

Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach

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tractor-trailer-stability-nonlinear-mpc-anti-jackknifing

This repository contains the implementation of a Nonlinear Anti-Jackknifing Model Predictive Control (MPC) strategy for enhancing stability in tractor-trailer systems. The MPC algorithm ensures precise trajectory tracking and mitigates the risk of dangerous jackknife accidents.

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