Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...
This project implements a learning-based Model Predictive Controller (MPC) for the POLARIS GEM e2 vehicle in a ROS Noetic simulation environment. It consists of three main stages: Data Collection, ...
Today’s ac servo systems are much different than those built even 10 years ago. Faster processors and higher resolution encoders are enabling manufacturers to implement amazing advances in tuning ...
Abstract: This paper proposes a one-step-ahead predictive controller for regulating the formation of a group of wheeled mobile robots. Although nonlinear model predictive control (NMPC) is commonly ...
Abstract: In this paper, we propose a nonlinear model predictive controller (NMPC) that employs a feedforward neural network as the prediction model, with the underlying optimization problem solved ...
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