Data driven fault tolerant thermal management of data centers

In this work we address the problem of fault-tolerant operation of data center thermal management systems. A data driven fault tolerant control framework is proposed. First, a data driven dynamic predictive model is trained using subspace identification. This model is utilized in a model predictive controller to predict dynamic behavior of a data center. An economic model predictive control is designed to maintain temperatures within an …