ARX model

An ARX (Auto-Regressive with eXogenous inputs) model is a mathematical tool used to predict future outcomes based on past data. It considers how a system's previous values and external factors influence its current behavior. For example, in temperature forecasting, it uses past temperatures and external variables like sunlight or humidity to make accurate predictions. This model helps analyze and control complex systems by capturing their dynamics through a combination of internal history and external influences, making it valuable in fields like engineering, economics, and environmental science.