In the MPC approach, the current control action is computed on-line rather than using a pre-computed, off-line, control law. A model predictive controller uses, at each sampling instant, the plant’s current input and output measurements, the plant’s current state, and the plant’s model to

Sep 13, 2023 · In this control engineering, control theory, and machine learning, we present a Model Predictive Control (MPC) tutorial. First, we explain how to formulate the problem and how to solve it. Finally, we explain how to implement the MPC algorithm in Python.

The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish to broaden their perspective in the MPC area of control technology.

Sep 24, 2021 · Abstract: This tutorial shows an overview of Model Predictive Control with a linear discrete-time system and constrained states and inputs. The focus is on the implementation of the method under consideration of stability and recursive feasibility.

Sep 15, 2023 · In this control engineering, control theory, and machine learning, we present a Model Predictive Control (MPC) tutorial. First, we explain how to formulate the problem and how to solve it. Finally, we explain how to implement the MPC algorithm in C++ by using the Eigen C++ matrix library.

Model predictive control (MPC) is a control scheme where a model is used for predicting the future behavior of the system over finite time window, the horizon.

I need to solve a (deterministic) optimal control problem in each step, with a given initial state I these problems become shorter (smaller) as tincreases toward T

Model predictive control system design and implementation using MATLAB. Springer Science & Business Media, 2009.

Model Predictive Control Toolbox™ provides functions, an app, Simulink ® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC.

In this series, you'll learn how model predictive control (MPC) works, and you’ll discover the benefits of this multivariable control technique. MPC uses a model of the system to make...