The time variance and nonlinearity of forging processes pose great challenges to high-
quality production. In this study, a one-step-ahead model predictive control (MPC) strategy …

We devise a novel technique to control the shape of polymer molecular weight distributions
(MWDs) in atom transfer radical polymerization (ATRP). This technique makes use of recent …

It poses significant challenge to control Hammerstein–Wiener systems involving modeling
nonlinearities. In this paper, a novel data-driven predictive control method based on the …

Control of pH processes is highly challenging due to high nonlinearity and sensitivity around
the equilibrium point. PID controllers being simple and the most widely used perform poorly …

A novel luminol derivative combining with azobenzene chromophore (LABD) and its
functionalized filter-paper were developed and evaluated for double-wavelength visible pH …

Optimal control of a CSTR represents a challenging task. The proposed paper discusses two
issues. The first one addresses control of pH in a chemical vessel, where the reaction …

This work develops a control strategy to handle coupling effects between the level and pH
for a pH process with multiple titrant streams. The feedback controller is formulated based on …

The high‐speed train with high transport speed and punctuality rate has become a leading
tool of daily traveling. Compared with the general‐speed railway transportation, the high …

This paper presents a self-adaptive fuzzy logic controller for a pH neutralization process
which has been designed and implemented in real time process. The controller deals with …

In the advanced process control area, model predictive control (MPC) implementations have
been successful in many industrial applications. Despite being an optimization-based …