MATLAB Implementation of GPC Direct Algorithm

In this article, we discuss the GPC (Generalized Predictive Control) direct algorithm program, a method for implementing predictive control in control systems. Predictive control is a control technique that forecasts future system behavior based on system models and regulates the system according to these predictions. The GPC direct algorithm implements a specific predictive control approach through system identification and control optimization. The algorithm typically involves constructing a CARIMA (Controlled Auto-Regressive Integrated Moving Average) model, computing optimal control sequences using cost function minimization over a prediction horizon, and implementing recursive least squares for parameter adaptation. Key MATLAB functions may include system modeling using arx or pem, optimization with quadprog for control calculations, and simulation via lsim for validation. By employing the GPC direct algorithm, ideal control outcomes can be achieved, making it widely applicable in control system implementations.