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.

Model predictive control (MPC) is an optimal control technique in which the calculated control actions minimize a cost function for a constrained dynamical system over a finite, receding, horizon. At each time step, an MPC controller receives or estimates the current state of the plant.

Jul 9, 2024 · This virtual lab contains interactive exercises to study the design of linear and adaptive model predictive controllers (MPCs) .

Mar 23, 2025 · Model-Based Development (MBD) has emerged as a critical approach for designing, testing, and deploying automotive control algorithms efficiently. This article explores how MATLAB/Simulink facilitates MBD, with a primary focus on the transition from Simulink models to production-ready embedded C code.

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).

Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers.

Sep 30, 2023 · Implementing Model Predictive Control (MPC) in MATLAB encompasses critical steps, including system modelling, cost function formulation, optimization problem setup, constraint handling, and parameter tuning.

Model Predictive Control System Design and Implementation Using MATLAB ® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory ...

This repository contains the development of a Lane Keep Assist (LKA) system for autonomous vehicles, designed using Model-Based Development (MBD) with MATLAB/Simulink. The project follows a structured approach to create a closed-loop system for assisting vehicles to stay within lane boundaries.

Feb 2, 2024 · Example implementation for robust model predictive control using tube. Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox. A Parallel Optimization Toolkit for …