Like reinforcement learning, but it works in practice
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Updated
Jun 6, 2024 - Julia
Like reinforcement learning, but it works in practice
Adaptive Automatic Equalizer
Welcome to my project portfolio! I am Arham Rahim, an AI and data analysis enthusiast dedicated to leveraging technology for sustainability. This repository showcases a collection of my projects, highlighting my skills and expertise in machine learning, data analytics, and sustainable innovation.
Simulation and Experiment Projects for the Paper "Desired Model Compensation-Based Position Constrained Control of Robotic Manipulators" using MATLAB Simulink and C
Fully Adaptive Network monitoring experiments for Paper.
An algorithm composed in the arc of Cybernetics. A framework that controls a machine's behaviour subjected to constantly-changing parameters, where it remembers and adapts its operational runtime
Miniprojects from the course "Control Theory in Robotics" during my 1st semester of the Master's.
DiffTune is a framework to automatically tune the parameters for a controller using gradient descent.
This repository focused on enhancing the Active Inference Controller (AIC) for robotic manipulation tasks on an Interbotix PincherX 150 5-DOF Robot. A modified control framework called the Reactive Active Inference Controller (ReAIC) outperfors the AIC in adaptation experiments.
Adaptive technology in homes for linking and integrating applications.
A collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
A Sharing Framework for Energy and Computing Resources in Multi-Operator Mobile Networks
Smart Energy Policies for Sustainable Mobile Networks via Forecasting and Adaptive Control
Parameter estimation and MRAC algorithms implemantaion
Turn any electrical irrigation valve into a smart-valve.. or run your pumps on a smart schedule based on your climate! This homebridge plugin exposes a multi-zone irrigation sprinkler dummy control system to Apple's HomeKit. Although a dummy, it brings smarts of an evapotranspiration based climate and plant adaptive irrigation controller with th…
LATEX report of my literature study into stable variable impedance learning.
Implement Sugeno and Mamdani Fuzzy Rules for Adaptive Controller on a Two-wheeled Self-balancing Robot
Adaptive control methods developed by Karl Johan Åström and Björn Wittenmark from the 70-80's for industrial use
The data-management aspect to the ideal algorithm
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