Model Predictive Control Implementation
Adaptive MPC Program Development Using M-files with MATLAB Code Implementation
Explore MATLAB source code curated for "模型预测控制" with clean implementations, documentation, and examples.
Adaptive MPC Program Development Using M-files with MATLAB Code Implementation
An implementation of model predictive control featuring comprehensive simulations across different prediction horizons (P), generating high-quality performance curves with detailed algorithmic insights
This code implements Model Predictive Control (MPC) algorithms for nonlinear plants with constraints, featuring prediction model optimization and constraint handling.
A practical demonstration of model predictive control applied to a gravity drained water tank system, including modeling, controller design, and simulation implementation.
Model Predictive Control based on Dynamic Matrix Control algorithm, covering predictive control implementation and applications
Model Predictive Control code that utilizes system modeling and optimization techniques to achieve optimal control performance through predictive input adjustments
MATLAB routine code for Model Predictive Control and PID cascade control systems, containing complementary .m files (implementation scripts) and .mdl files (Simulink models) with algorithm explanations and key function descriptions
MPC Model Predictive Control Algorithm for understanding model predictive control concepts, with code implementation insights and algorithm explanations
Implementation of model predictive control for linear induction motor drive systems with code architecture and predictive algorithm explanations