adaptive-control

Adaptive control methods developed by Karl Johan Åström and Björn Wittenmark from the 70-80's for industrial use

A curated list of neural applications in control theory and practice

This is a project where an Adaptive Flight Control based on L1 adaptive control is designed and tested using MATLAB/Simulink [ L1 adaptive control code ]

Adaptive and fault tolerant flight control with Adaptive Neural Networks

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 the use of OpenWeatherMap API. The plugin can optionally email you, and/or send you push notifications through Pushover or Pushcut, with the watering schedule it has calculated, or when a watering run is completed, along with the next 7-day weather forecast. Added option to expose system controls to Homekit allowing a user to enable/disable irrigation, rechecks, push and email notifications from within the Home App. Associated WaterLevel Characteristic shows the % of watering cycle remaining.

Various adaptive control implementations (university project)

Safe Control for Nonlinear Systems

Various codes written in python for, primarily for control

Unscented estimation and adaptive control package

Model reference adaptive controller for Crazyflie using ROS

ROS package for model reference adaptive control

Materiál k predmetu Adaptívne riadenie.

Sample code for my article Intelligent Steering Using Adaptive PID Controllers in the book AI Game Programming Wisdom 3

Source Codes for reproducing the results in the paper: https://arxiv.org/abs/1703.03821

Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)

Contains simulation code for different homework assignment problems showcasing controller design for stabilizing systems with unknown parameters/distrubances etc

using rls to estimate the system : y =exp(-x)

Using Indirect Self-Tuning Regulator to estimate the unknown system

This repository provides basic Simulink Implementations for various adaptive controllers.

Library for generating laws of adaptive control with identification

Library for arduino with the implementation of the PID controller

Algorithms adaptive control and identification

MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)

Adaptive Automatic Equalizer

Adaptive Control for Dynamic Weight Lifting Motor, made in Matlab with Arduino

Runtime for adaptive solutions experimentation

Six degrees-of-freedom (6DOF) dynamic modeling and adaptive/robust control of an anthropomorphic manipulator arm designed in Simulink environment.

Development of adaptive control algorithms for the automatic adjustment of the level of assistance to be provided to the patient in rehabilitation on the basis of the interpretation of movement intentions and the progress made in the recovery of motor functions. The platform of interest is Kuka MED Robot.

Application shows advantage of Classical MRAC using RBFs over PD control when unmodeled dynamics are present in the system (wing rock model).