Adaptive sun-tracking cover control for Home Assistant: blinds, awnings, and venetian tilts with climate-aware positioning and a priority override pipeline.

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

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

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…

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 ]

PyTorch + Gymnasium framework for aerospace control. Deep RL (SAC, PPO, DDPG, DQN, IHDP, ET-DHP) and adaptive controllers (AIDI, MPC, iADP) on nonlinear F-16/B747/UAV/satellite sims. Includes in-flight damage modeling, real-time 3D flight viewer, TensorBoard/WandB, Optuna. EN/RU docs.

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

QEC is a deterministic, replay-safe proof and systems architecture for quantum error correction, invariant-driven computation, canonical hashing, replay validation, semantic/citation boundary enforcement, proof telemetry, inference and agent-boundary receipts, research provenance, and hash-bound decoder governance.

Various codes written in python for, primarily for control

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

ROS package for model reference adaptive control