Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K.

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments ...

The Rate-Predictive Control (RPC) algorithm earned a United States patent in 2016 and is an inherently adaptive (or “naturally self-tuning”) process control algorithm. June 6, 2017: A research project ...

This website has a series of tutorials on control systems. They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems. They cover the basics of ...