Hydrogel products constitute a group of polymeric materials, the hydrophilic structure of
which renders them capable of holding large amounts of water in their three-dimensional …

In this paper, we discuss the model predictive control algorithms that are tailored for
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …

Dividing-wall column (DWC) is one of the best examples of process intensification, as it can
bring significant reduction in the capital invested as well as savings in the operating costs …

The measurement and control of polymerization reactors is very challenging due to the
complexity of the physical mechanisms and polymerization kinetics. In these reactors many …

Filling a gap in the literature for a practical approach to the topic, this book is unique in
including a whole section of case studies presenting a wide range of applications from …

Prediction uncertainty has rarely been integrated into traditional soft sensors in industrial
processes. In this work, a novel autoswitch probabilistic soft sensor modeling method is …

Considering the strong nonlinearity, wide flight envelope and hard constraints of hypersonic
vehicle (HV), we present a multiple model predictive control (MMPC) strategy for the control …

In this paper, a fault diagnosis method is developed for systems described by multi-models.
The main contribution consists in the design of a new fault detection and isolation (FDI) …

Climate change, the greenhouse effect and fossil fuel extraction have gained a growing
interest in research and industrial circles to provide alternative chemicals and fuel synthesis …

A well-performed core power control to track load changes is crucial in pressurized water
reactor (PWR) nuclear power stations. It is challenging to keep the core power stable at the …