Model Predictive Control

Model Predictive Control (MPC) is an advanced control strategy that optimizes the control sequence over a future time horizon to achieve dynamic performance optimization of the system. It predicts system behavior based on time series data, aiming to minimize performance criteria while satisfying constraints. MPC is widely used in industrial process control, energy management, transportation systems, and other fields. It can effectively handle multivariable, nonlinear, and uncertain problems, enhancing the stability and efficiency of the system.