acm.org

From Prediction to Intervention: Integrating Counterfactual Reasoning into AI Decision-Making

The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
GitHub

Reinforcement Learning with Model Predictive Control

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...
IEEE

Export of explicit model predictive control to python

Abstract: This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify ...
CIO

Your data’s wasted without predictive AI. Here’s how to fix that

A playbook for leaders to master AI analytics, overcome scaling hurdles, control costs, empower teams, prove ROI and achieve competitive advantage. The new analytics mandate is descriptive, predictive ...
IEEE

Model-Free Predictive Control Using Sinusoidal Generalized Universal Model for PMSM Drives

Abstract: To address the issue of weak robustness caused by parameter mismatches in model predictive control (MPC), model-free predictive control is widely adopted in motor driving systems. This ...
GitHub

Nominal Nonlinear Model Predictive Control

First install the required technical prerequisites and download the Python files contained in this repository. Next run Simulation, which should run the pre-defined ...