IEEE

Data-Driven Incremental Model Predictive Control for Robot Manipulators

Model predictive control (MPC) is one of the few control frameworks allowing to systematically integrate input and/or state constraints to realize safe control. Nonetheless, traditional MPC requires a ...
Harvard Business Review

How Pioneering Boards Are Using AI

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
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 ...
IEEE

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

Abstract: Heart disease (HD), including heart attacks, is a primary cause of death across the world. In the area of medical data analysis, one of the most difficult problems to solve is determining ...
GitHub

Angular SSR: Global Platform Injector Race Condition Leads to Cross-Request Data Leakage

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack Vector: This metric reflects the context by which vulnerability ...