Adaptive Control for Dynamic Weight Lifting Motor, made in Matlab with Arduino
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Updated
Jan 13, 2019 - C++
Adaptive Control for Dynamic Weight Lifting Motor, made in Matlab with Arduino
Personal research topic about U-model control and Sliding Mode Control tuned by Reinforcement Learning
Using proxy and Express.js to play with adaptive concurrency
simulating the concepts covered in the Adaptive Control Course
Implement Sugeno and Mamdani Fuzzy Rules for Adaptive Controller on a Two-wheeled Self-balancing Robot
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.
Embodied evolutionary (EE) algorithm for open-ended continuous adaptation of swarm robotics.
A Sharing Framework for Energy and Computing Resources in Multi-Operator Mobile Networks
Source Codes for reproducing the results in the paper: https://arxiv.org/abs/1703.03821
The data-management aspect to the ideal algorithm
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
Adaptive technology in homes for linking and integrating applications.
Like reinforcement learning, but it works in practice
Parameter estimation and MRAC algorithms implemantaion
Simulation and Experiment Projects for the Paper "Desired Model Compensation-Based Position Constrained Control of Robotic Manipulators" using MATLAB Simulink and C
Runtime for adaptive solutions experimentation
A collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
DiffTune is a framework to automatically tune the parameters for a controller using gradient descent.
SlidingPaneLayout Sample
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