Hackaday

Using Your Own RBMK Reactor Control Center At Home

To give people the most intimate RBMK experience, the [Chornobyl Family] has been working tirelessly at not only replicating ...
eLife

Experimental verification of the error minimization theory using non-standard genetic codes constructed in vitro

The in vitro experiments that used the artificial genetic codes tested here did not provide support for the error minimization theory.

Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
IEEE

Error-Aware Nonlinear Gain-Based PID Tracking Control: A Constructive and Self-Tuning Approach

Abstract: Conventional proportional-integral-derivative (PID) controllers face fundamental limitations in handling unknown nonlinearities and coupling effects, often requiring manual tuning or complex ...
IEEE

Benchmarking Model Predictive Control and Reinforcement Learning-Based Control for Legged Robot Locomotion in MuJoCo Simulation

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...