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

Python library that implements DeePC: Data-Enabled Predictive Control

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.

Project Code for the paper "A Learning-based Quadcopter Controller with Extreme Adaptation"

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

UAV Dynamics and Autonomous control (LQR, MPC, Adaptive, Non-linear, Geometric Control, Cascaded Control , Estimation/filtering )

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

Various adaptive control implementations (university project)

Personal legged_gym Unitree A1 implementation for paper 'Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control'. Homework repo for SJTU ACM class RL courses

Safe Control for Nonlinear Systems

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

MATLAB and Simulink code for controlling delivery drone

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

Various codes written in python for, primarily for control

ROS package for model reference adaptive control

A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.

No description provided.

Scripts demonstrating a variety of adaptive control algorithms.

Unscented estimation and adaptive control package

C++ implementation of Adaptive Control

Matlab implementation of the Adaptive Control Library

Materiál k predmetu Adaptívne riadenie.

Leader-Follower based model predict formation control, with adaptive control to overcome slippage problem in each robots

Like reinforcement learning, but it works in practice

Explore and learn Syncfusion ASP.NET MVC UI controls using large collection of demos, example applications and tutorial samples

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

This repository presents a high-fidelity simulation environment to test controllers for autonomous multi-rotor UAVs (an X8 UAV). Multiple linear and nonlinear control systems are provided. A wrapper allows performing a user-defined number of tests automatically.

Personal research topic about U-model control and Sliding Mode Control tuned by Reinforcement Learning