The MathWorks, Inc., 2021. — 960 p.
Model Predictive Control Toolbox provides functions, an app, and Simulink blocks for designing and simulating controllers using linear and nonlinear model predictive control (MPC). The toolbox lets you specify plant and disturbance models, horizons, constraints, and weights. By running closed-loop simulations, you can evaluate controller performance.
Controller Creation
Model Predictive Control Basics
Controller Refinement
Controller Analysis
Controller Simulation
Explicit MPC Design
Adaptive MPC Design
Gain Scheduling MPC Design
Nonlinear MPC
Land a Rocket Using Multistage Nonlinear MPC
Code Generation
Automated Driving Applications