An introduction to Bayesian networks in systems and control

Bayesian networks are a popular and powerful tool in artificial intelligence. They have a natural application in soft-sensing and filtering for system control. This paper provides an overview of the techniques involved. It proceeds by giving a mathematical overview of what Bayesian networks are and the flavors they come in. It then looks at how they can be created or learnt from data and the situations that lead to the use of ensemble models. Then it examines how they can be used for system analysis, inference and automated decision making. Finally, we look at their use in soft-sensing and dynamic system modeling.