In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

The blast furnace is a highly energy-intensive, highly polluting, and extremely complex
reactor in the ironmaking process. Soft sensors are a key technology for predicting molten …

A new type of model free adaptive control (MFAC) method, including MFAC scheme designs
with the compact-form-dynamic-linearization-based controller (CFDLc) and partial-form …

Optimal operation of an industrial blast furnace (BF) ironmaking process largely depends on
a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the …

A review of black-box models for short-term time-discrete prediction of the silicon content of
hot metal produced in blast furnaces is presented. The review is primarily focused on work …

Optimal operation of a practical blast furnace (BF) iron-making process depends largely on a
good measurement of molten iron quality (MIQ) indices. However, measuring the MIQ online …

Since the hot metal silicon content simultaneously reflects the product quality and the
thermal state of the blast furnace, its modeling is crucial and representative. In order to …

The chamber pressure modeling of the industrial coke furnace is difficult due to the flame
instability in the fuel burner and various disturbances. To deal with this issue, a new …

By dealing with robust modeling and online learning together in a unified random vector
functional-link networks (RVFLNs) framework, this paper presents a novel robust online …

Black-box models play an important role in advancing the blast furnace modeling
technologies for control purposes. To further enhance their practical applications, this paper …