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.

Learn how model predictive control (MPC) works. MPC uses a model of the plant to make predictions about future plant outputs. It solves an optimization problem at each time step to find the optimal control action that drives the predicted plant output to …

A model predictive controller uses linear plant, disturbance, and noise models to estimate the controller state and predict future plant outputs. Using the predicted plant outputs, the controller solves a quadratic programming optimization problem to determine control moves.

Sep 24, 2021 · 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. The MATLAB code for the examples and plots is available online. Bibliographic Explorer (What is the Explorer?)

This virtual lab contains interactive exercises to study the design of linear and adaptive model predictive controllers (MPCs) for implementing a vehicle steering control system. The lab solutions are available upon instructor request.

use the first control in the sequence as the plant’s input. The MPC strategy is illustrated in Figure 2, where Np is the prediction horizon, u(t + k|t) is the predicted control action at t + k given u(t). Similarly, y(t + k|t) is the predicted output at t + k given y(t).

Sep 1, 2023 · This tutorial consists of a brief introduction to the modern control approach called model predictive control (MPC) and its numerical implementation using MATLAB. We discuss the basic concepts and numerical implementation of the two major classes of MPC: Linear MPC (LMPC) and Nonlinear MPC (NMPC).

This is the MATLAB code for a brief tutorial for Model Predictive Control (MPC) for a linear discrete-time system with constrained states and inputs.

Model Predictive Control using MATLAB. The codes are based on my short lecture series on MPC titled MODEL PREDICTIVE CONTROL USING MATLAB. For a better understanding of the codes and the theory of MPC, the lectures can be refered. …

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...