Abstract

The Big Data revolution refers to using a large amount of data to improve decision making. In process control applications, the use of big data techniques has been restricted to complementing classical control schemes as model-based or PID approaches. This work focuses on a model-free purely data-driven control strategy known as Big Data approximating control (BDAC), which was recently introduced in the context of process control. In particular, this work proposes two modifications to the classical BDAC formulation and presents a real implementation of the enhanced BDAC technique to a real industrial paste thickener. Copyright (C) 2020 The Authors.